National Library of Energy BETA

Sample records for knowledge base talent

  1. SOFTWARE DEVELOPER Mobile Knowledge Systems Inc. is looking for a talented software developer to join our team in Ottawa for the

    E-Print Network [OSTI]

    Dawson, Jeff W.

    SOFTWARE DEVELOPER Mobile Knowledge Systems Inc. is looking for a talented software developer the opportunity to contribute to the entire software development life cycle of our products. Duties: · Work with the development team and other corporate team members to obtain software requirements, define quality design

  2. Knowledge-based control 

    E-Print Network [OSTI]

    Painter, John H.

    1992-03-17

    Knowledge-based control is defined here as the management of dynamic systems whose states admit qualitative modeling. Contributions from several disparate disciplines, such as artificial intelligence, the decision sciences, and fuzzy control...

  3. TALENT user's manual.

    SciTech Connect (OSTI)

    Merchant, Bion John

    2012-01-01

    The Ground-Based Monitoring R and E Component Evaluation project performs testing on the hardware components that make up Seismic and Infrasound monitoring systems. The majority of the testing is focused on the Digital Waveform Recorder (DWR), Seismic Sensor, and Infrasound Sensor. The software tool used to capture and analyze the data collected from testing is called TALENT: Test and Analysis Evaluation Tool. This document is the manual for using TALENT. Other reports document the testing procedures that are in place (Kromer, 2007) and the algorithms employed in the test analysis (Merchant, 2011).

  4. Knowledge Acquisition from Data Bases 

    E-Print Network [OSTI]

    Wu, Xindong

    Knowledge acquisition from databases is a research frontier for both data base technology and machine learning (ML) techniques,and has seen sustained research over recent years.It also acts as a link between the two fields,thus offering a dual...

  5. Knowledge Based Enterprise Engineering (KBEE): a modeling framework for enterprise knowledge

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Knowledge Based Enterprise Engineering (KBEE): a modeling framework for enterprise knowledge modeling, Knowledge modeling, Enterprise Engineering, Knowledge Engineering. 1 Introduction Knowledge in externalization and integration of knowledge and also for the engineering context, we will propose in this paper

  6. An Insulating Glass Knowledge Base

    SciTech Connect (OSTI)

    Michael L. Doll; Gerald Hendrickson; Gerard Lagos; Russell Pylkki; Chris Christensen; Charlie Cureija

    2005-08-01

    This report will discuss issues relevant to Insulating Glass (IG) durability performance by presenting the observations and developed conclusions in a logical sequential format. This concluding effort discusses Phase II activities and focuses on beginning to quantifying IG durability issues while continuing the approach presented in the Phase I activities (Appendix 1) which discuss a qualitative assessment of durability issues. Phase II developed a focus around two specific IG design classes previously presented in Phase I of this project. The typical box spacer and thermoplastic spacer design including their Failure Modes and Effect Analysis (FMEA) and Fault Tree diagrams were chosen to address two currently used IG design options with varying components and failure modes. The system failures occur due to failures of components or their interfaces. Efforts to begin quantifying the durability issues focused on the development and delivery of an included computer based IG durability simulation program. The focus/effort to deliver the foundation for a comprehensive IG durability simulation tool is necessary to address advancements needed to meet current and future building envelope energy performance goals. This need is based upon the current lack of IG field failure data and the lengthy field observation time necessary for this data collection. Ultimately, the simulation program is intended to be used by designers throughout the current and future industry supply chain. Its use is intended to advance IG durability as expectations grow around energy conservation and with the growth of embedded technologies as required to meet energy needs. In addition the tool has the immediate benefit of providing insight for research and improvement prioritization. Included in the simulation model presentation are elements and/or methods to address IG materials, design, process, quality, induced stress (environmental and other factors), validation, etc. In addition, acquired data is presented in support of project and model assumptions. Finally, current and suggested testing protocol and procedure for future model validation and IG physical testing are discussed.

  7. Managing talent flow. 2006 Energy and Resources

    E-Print Network [OSTI]

    Managing talent flow. 2006 Energy and Resources Talent Pulse Survey Report Consulting #12;Executive ................................................................ 13 Contents #12;1 Managing talent flow 2006 Energy and Resources Talent Pulse Survey Report 2006 strategy. 1 #12;2 Managing talent flow 2006 Energy and Resources Talent Pulse Survey Report Key findings

  8. CHAPTER 5 KNOWLEDGE BASE ISSUES 5.1 Introduction

    E-Print Network [OSTI]

    O'Connor, Rory

    areas of knowledge engineering and knowledge representation are introduced, and the issues of choosing are investigated. 5.2 Knowledge Engineering The term Knowledge Engineering is now commonly used to describe the process of Knowledge Based System (KBS) development. Knowledge engineering includes [Smith, 96

  9. Bioenergy Science Center KnowledgeBase

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Syed, M. H.; Karpinets, T. V.; Parang, M.; Leuze, M. R.; Park, B. H.; Hyatt, D.; Brown, S. D.; Moulton, S. Galloway, M.D.; Uberbacher, E. C.

    The challenge of converting cellulosic biomass to sugars is the dominant obstacle to cost effective production of biofuels in s capable of significant enough quantities to displace U. S. consumption of fossil transportation fuels. The BioEnergy Science Center (BESC) tackles this challenge of biomass recalcitrance by closely linking (1) plant research to make cell walls easier to deconstruct, and (2) microbial research to develop multi-talented biocatalysts tailor-made to produce biofuels in a single step. [from the 2011 BESC factsheet] The BioEnergy Science Center (BESC) is a multi-institutional, multidisciplinary research (biological, chemical, physical and computational sciences, mathematics and engineering) organization focused on the fundamental understanding and elimination of biomass recalcitrance. The BESC Knowledgebase and its associated tools is a discovery platform for bioenergy research. It consists of a collection of metadata, data, and computational tools for data analysis, integration, comparison and visualization for plants and microbes in the center.The BESC Knowledgebase (KB) and BESC Laboratory Information Management System (LIMS) enable bioenergy researchers to perform systemic research. [http://bobcat.ornl.gov/besc/index.jsp

  10. IGENPRO knowledge-based operator support system.

    SciTech Connect (OSTI)

    Morman, J. A.

    1998-07-01

    Research and development is being performed on the knowledge-based IGENPRO operator support package for plant transient diagnostics and management to provide operator assistance during off-normal plant transient conditions. A generic thermal-hydraulic (T-H) first-principles approach is being implemented using automated reasoning, artificial neural networks and fuzzy logic to produce a generic T-H system-independent/plant-independent package. The IGENPRO package has a modular structure composed of three modules: the transient trend analysis module PROTREN, the process diagnostics module PRODIAG and the process management module PROMANA. Cooperative research and development work has focused on the PRODIAG diagnostic module of the IGENPRO package and the operator training matrix of transients used at the Braidwood Pressurized Water Reactor station. Promising simulator testing results with PRODIAG have been obtained for the Braidwood Chemical and Volume Control System (CVCS), and the Component Cooling Water System. Initial CVCS test results have also been obtained for the PROTREN module. The PROMANA effort also involves the CVCS. Future work will be focused on the long-term, slow and mild degradation transients where diagnoses of incipient T-H component failure prior to forced outage events is required. This will enhance the capability of the IGENPRO system as a predictive maintenance tool for plant staff and operator support.

  11. A Certifying Compiler for Zero-Knowledge Proofs of Knowledge Based on -Protocols

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    A Certifying Compiler for Zero-Knowledge Proofs of Knowledge Based on -Protocols (Full Version) Jos present a comprehensive spec- ification language and a certifying compiler for ZK-PoK protocols based on -protocols and composition techniques known in literature. The compiler allows the fully automatic

  12. Expert Systems A knowledge-based approach to

    E-Print Network [OSTI]

    Lucas, Peter

    ): · Problem-solving method (PSM): ­ diagnostic PSM ­ planning and scheduling PSM ­ design and configuration PSM ­ decision-making PSM implemented in a reasoning method · Knowledge base specified

  13. The Cognitive Ergonomics of Knowledge-Based Design Support Systems

    E-Print Network [OSTI]

    the cognitive ergonomics of such systems, we have designed, built, and evaluated a domain-oriented designThe Cognitive Ergonomics of Knowledge-Based Design Support Systems Tamara Sumner Knowledge Media a critiquing system was designed, built, and evaluated for a specific area: phone-based interface design. Four

  14. The process for integrating the NNSA knowledge base.

    SciTech Connect (OSTI)

    Wilkening, Lisa K.; Carr, Dorthe Bame; Young, Christopher John; Hampton, Jeff; Martinez, Elaine

    2009-03-01

    From 2002 through 2006, the Ground Based Nuclear Explosion Monitoring Research & Engineering (GNEMRE) program at Sandia National Laboratories defined and modified a process for merging different types of integrated research products (IRPs) from various researchers into a cohesive, well-organized collection know as the NNSA Knowledge Base, to support operational treaty monitoring. This process includes defining the KB structure, systematically and logically aggregating IRPs into a complete set, and verifying and validating that the integrated Knowledge Base works as expected.

  15. JOBAID-ACCESSING AND MODIFYING TALENT PROFILE

    Broader source: Energy.gov [DOE]

    The purpose of this job aid is to guide users through the step-by-step process of accessing their talent profiles, adding information to their profiles, and editing existing talent profile...

  16. KNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING

    E-Print Network [OSTI]

    Aamodt, Agnar

    KNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING Combining general and case-specific knowledge of Computer and Information Science. agnar.aamodt@idi.ntnu.no Abstract: Oil well drilling is a complex process for information handling, decision-making, and on-the-job learning for drilling personnel in their daily working

  17. An Operational Semantics for Knowledge Bases Ronald Fagin

    E-Print Network [OSTI]

    Halpern, Joseph Y.

    supported in part by the Air Force Office of Scientific Research (AFSC), under Contract F49620-91-C-0080. with a knowledge base a set of truth assignments. We de- scribe here a different semantic approach. We show

  18. A graphical user interface for knowledge-based control 

    E-Print Network [OSTI]

    Russell, Paul Joseph

    1992-01-01

    , a user interface, and an internal blackboard. The symbolic controller (meta-controller) exerts control on the numerical controller to produce the desired goals. The symbolic interpreter (interpreter) gathers raw numerical data from the dynamic... Meta- Controller OUTER LOOP Graphical Ustsr User' , I/O Interface Computer Simulation Knowledge-based Processor Figure 3. Architecture (GUI) for a knowledge-based controller. The objective of the research effort is to produce an object...

  19. An analysis of the SUDOC bibliographic knowledge base from a link validity viewpoint

    E-Print Network [OSTI]

    Croitoru, Madalina

    libraries (SUDOC), a bibli- ographical knowledge base maintained by the University Bibliographic Agency- tation) is a large bibliographical knowledge base managed by ABES (Agence Bibli- ographique de l

  20. Developing a knowledge base for the management of severe accidents

    SciTech Connect (OSTI)

    Nelson, W.R.; Jenkins, J.P.

    1986-01-01

    Prior to the accident at Three Mile Island, little attention was given to the development of procedures for the management of severe accidents, that is, accidents in which the reactor core is damaged. Since TMI, however, significant effort has been devoted to developing strategies for severe accident management. At the same time, the potential application of artificial intelligence techniques, particularly expert systems, to complex decision-making tasks such as accident diagnosis and response has received considerable attention. The need to develop strategies for accident management suggests that a computerized knowledge base such as used by an expert system could be developed to collect and organize knowledge for severe accident management. This paper suggests a general method which could be used to develop such a knowledge base, and how it could be used to enhance accident management capabilities.

  1. A KNOWLEDGE BASE FOR JUSTIFIED INFORMATION SECURITY DECISION-MAKING

    E-Print Network [OSTI]

    Newcastle upon Tyne, University of

    A KNOWLEDGE BASE FOR JUSTIFIED INFORMATION SECURITY DECISION-MAKING Daria Stepanova, Simon E.K. dasha stepanova@list.ru, s.e.parkin@ncl.ac.uk, aad.vanmoorsel@ncl.ac.uk Keywords: Information security Information Security Officer (CISO) within an organisation to ensure that such information is adequately

  2. The knowledge-based content management application design methodology

    E-Print Network [OSTI]

    Chen-Burger, Yun-Heh (Jessica)

    of the development life cycle of a software system based on the ICONS framework. The result of the work presented life cycle methodology. It allows the organisation that implements a knowledge management software two chapters are the presentation of the general context for life cycle and management methodologies

  3. A KNOWLEDGE-BASED CODE GENERATOR GENERATOR Christopher W. Fraser %

    E-Print Network [OSTI]

    Fraser, Christopher W.

    A KNOWLEDGE-BASED CODE GENERATOR GENERATOR Christopher W. Fraser % Department of Computer Science a good local code generator for an ALGOL-like language. It is organized as a production system of rules generation of compilers. Automatic generation of some compiler modules is already available; for example

  4. A Knowledge-based Approach for Lifelike Gesture Stefan Kopp

    E-Print Network [OSTI]

    Moeller, Ralf

    behaviors of virtual anthropomorphic agents, widely used in human-computer interfaces, are increasinglyA Knowledge-based Approach for Lifelike Gesture Animation Stefan Kopp and Ipke Wachsmuth Abstract. The inclusion of additional modalities into the commu- nicative behavior of virtual agents

  5. Plan generation strategies for a knowledge based process planning system 

    E-Print Network [OSTI]

    Hari, Umesh

    1993-01-01

    by the meta-knowledge entities called as meta-goals, meta-plans and meta-themes. These planning elements are then encapsulated into a plan generation mechanism within the master planner. The planning activity is stratified into four modules based... . 4. I Introduction 4. 2 Planning Mechanism 4. 3 Ontology of Planning Modes 4. 4 Meta-Planning Knowledge 4. 5 Architecture of the Master Planner V IDEFO MODELS OF PROCESS PLANNING ACTIVITIES Page 59 59 59 63 66 68 70 5. I Introduction 5...

  6. ISPE: A knowledge-based system for fluidization studies

    SciTech Connect (OSTI)

    Reddy, S.

    1991-01-01

    Chemical engineers use mathematical simulators to design, model, optimize and refine various engineering plants/processes. This procedure requires the following steps: (1) preparation of an input data file according to the format required by the target simulator; (2) excecuting the simulation; and (3) analyzing the results of the simulation to determine if all specified goals'' are satisfied. If the goals are not met, the input data file must be modified and the simulation repeated. This multistep process is continued until satisfactory results are obtained. This research was undertaken to develop a knowledge based system, IPSE (Intelligent Process Simulation Environment), that can enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant to perform a variety tasks related to process simulation. ASPEN, a widely used simulator by the US Department of Energy (DOE) at Morgantown Energy Technology Center (METC) was selected as the target process simulator in the project. IPSE, written in the C language, was developed using a number of knowledge-based programming paradigms: object-oriented knowledge representation that uses inheritance and methods, rulebased inferencing (includes processing and propagation of probabilistic information) and data-driven programming using demons. It was implemented using the knowledge based environment LASER. The relationship of IPSE with the user, ASPEN, LASER and the C language is shown in Figure 1.

  7. Combining Cost-Based and Rule-Based Knowledge in Complex Resource Allocation

    E-Print Network [OSTI]

    Powell, Warren B.

    Combining Cost-Based and Rule-Based Knowledge in Complex Resource Allocation Problems Arun Marar, for reasons that are not reflected in the objective function. Other examples that we have encountered include

  8. Knowledge based expert systems in engineering: Planning and design

    SciTech Connect (OSTI)

    Sriram, D.; Adey, R.A.

    1987-01-01

    AI technology and in particular knowledge based expert systems is now making a major impact in design with many systems being developed an applied in engineering. This book contains details on how these systems are developed and how they are being applied. Papers cover application of AI in project management, conceptual design, automated design systems, and process planning in many areas of engineering. Example systems discussed in the 31 papers include structural design, digital circuit design, road design plus many other applications.

  9. A knowledge based model of electric utility operations. Final report

    SciTech Connect (OSTI)

    1993-08-11

    This report consists of an appendix to provide a documentation and help capability for an analyst using the developed expert system of electric utility operations running in CLIPS. This capability is provided through a separate package running under the WINDOWS Operating System and keyed to provide displays of text, graphics and mixed text and graphics that explain and elaborate on the specific decisions being made within the knowledge based expert system.

  10. Talent

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar Fuel ProductionRecoverable CoalTailoreddo inventionsFacts,

  11. Soybean Knowledge Base (SoyKB): a Web Resource for Soybean Translation...

    Office of Scientific and Technical Information (OSTI)

    Soybean Knowledge Base (SoyKB): a Web Resource for Soybean Translational Genomics Citation Details In-Document Search Title: Soybean Knowledge Base (SoyKB): a Web Resource for...

  12. A Comparison of Data-Derived and Knowledge-Based Modeling of Pronunciation Variation 

    E-Print Network [OSTI]

    Wester, Mirjam; Fosler-Lussier, Eric

    This paper focuses on modeling pronunciation variation in two different ways: data-derived and knowledge-based. The knowledge-based approach consists of using phonological rules to generate variants. The data-derived approach consists of performing...

  13. IN-DEPTH KNOWLEDGE-BASED MACHINE TRANSLATION

    E-Print Network [OSTI]

    distribution of the Penman sentence generator and text planner and the develop- ment of ancillary knowledge. Penman and its ancillary resources will be embedded into

  14. A Representation-Based Methodology for Developing High-Value Knowledge Engineering Systems: Theory and Applications

    E-Print Network [OSTI]

    Munger, Tyler Rey

    2012-01-01

    Knowledge Engineering . . . . . . . . . . . . . . . . . . . . . . .Knowledge Engineering . . . . . . . . . . . .to Analytics for Knowledge Engineering Approach . . . . .

  15. A knowledge-based verification method for dynamic access control policies

    E-Print Network [OSTI]

    Ryan, Mark

    . This abstraction of knowledge results in a simpler model, which makes the verification efficient, and is powerful may be a prior knowledge, or gained by exploring the system. In both cases, a verification method proposes a dynamic access control model supporting knowledge- based verification through reasoning about

  16. Description Logics: Foundations for Class-based Knowledge Representation Diego Calvanese, Giuseppe De Giacomo, Maurizio Lenzerini

    E-Print Network [OSTI]

    Calvanese, Diego

    Description Logics: Foundations for Class-based Knowledge Representation Diego Calvanese, Giuseppe Class-based languages express knowledge in terms of objects and classes, and have inspired a huge number of formalisms in computer science. Description logics form a family of both class-based and logic

  17. Developing Knowledge-Based Systems using the Semantic Weba

    E-Print Network [OSTI]

    Sleeman, Derek

    process: for example, for a PSM to work with a particular domain ontology, mappings would be defined between the two: the mappings would allow the PSM to access and use the domain knowledge provided by the domain ontology during the PSM's execution. Despite considerable research focused on making

  18. KnowledgeBased Software Assistant : A Knowledge Representation Model and its Implementation

    E-Print Network [OSTI]

    Boudjlida, Nacer

    of the software life­cycle. In this paper, we ørst propose concepts for software process model­ ing in order in the software life­cycle [?][?][?][?]. A ørst approach relies on an object base and a rule base. The obj in the ALF Project [?][?] (Advanced software engineering environment Logistics Framework) which aims

  19. Chinese Sentence Generation in a KnowledgeBased Machine Translation System

    E-Print Network [OSTI]

    Spirtes, Peter

    Chinese Sentence Generation in a Knowledge­Based Machine Translation System Tangqiu Li, Eric H presents a technique for generating Chinese sentences from the Interlingua expressions used in the KANT knowledge­based machine translation system. Chinese sentences are generated directly from the semantic

  20. Reasoning in inconsistent stratified knowledge bases Salem BENFERHAT --Didier DUBOIS --Henri PRADE

    E-Print Network [OSTI]

    Winckler, Marco Antonio Alba

    knowledge base issued from a source of information is "flat" (i.e., without any priority between items). But there is a total pre­ordering between the sources of information according to their reliability. In this case, merging different sources of information leads to a prioritized knowledge base, where the certainty level

  1. GENERATING PITCH ACCENTS IN A CONCEPT-TO-SPEECH SYSTEM USING A KNOWLEDGE BASE

    E-Print Network [OSTI]

    Williams, Sandra

    requiring particular emphasis or stress. Our pitch accenting algorithm uses a domain knowledge base the placement of pitch accents on syllables requiring particular emphasis or stress in an utterance, the subject labour intensive. However, we have demonstrated that a large knowledge base can be built automatically

  2. Knowledge-Based Dynamic Volumetric Cardiac Computed Tomography With Saddle Curve Trajectory

    E-Print Network [OSTI]

    Wang, Ge

    Knowledge-Based Dynamic Volumetric Cardiac Computed Tomography With Saddle Curve Trajectory Deepak simulations with the dynamic thorax phantom. Key Words: X-ray computed tomography, dynamic volumetric cardiac. In 2002, Wang et al10 proposed a dynamic knowledge-based cardiac volumetric CT for the circular trajectory

  3. Preservation of Digital Data with Self-Validating, Self-Instantiating Knowledge-Based Archives

    E-Print Network [OSTI]

    Ludäscher, Bertram

    Preservation of Digital Data with Self-Validating, Self-Instantiating Knowledge-Based Archives and collection management. Our ap- proach is knowledge-based in the sense that the ingestion process can employ,marciano,mooreg@sdsc.edu Abstract Digital archives are dedicated to the long-term preservation of electronic information and have

  4. On-To-Knowledge: Ontology-based Tools for Knowledge Management

    E-Print Network [OSTI]

    van Harmelen, Frank

    ; (2) OIL, an ontology- based inference layer on top of the World-Wide Web; (3) an associated to extract such information from textual representations, and they fail to integrate information spread over

  5. Learning is Change in Knowledge: Knowledge-based Security for Dynamic Policies

    E-Print Network [OSTI]

    Chong, Stephen

    information, the security policy to enforce on information frequently changes: new users join the system, old a language-based model for specifying, reasoning about, and enforcing information security in systems confidential information may provide a different attacker with no new information. A program that is secure

  6. IGENPRO knowledge-based digital system for process transient diagnostics and management

    SciTech Connect (OSTI)

    Morman, J.A.; Reifman, J.; Wei, T.Y.C. [Argonne National Lab., IL (United States)] [and others

    1997-12-31

    Verification and validation issues have been perceived as important factors in the large scale deployment of knowledge-based digital systems for plant transient diagnostics and management. Research and development (R&D) is being performed on the IGENPRO package to resolve knowledge base issues. The IGENPRO approach is to structure the knowledge bases on generic thermal-hydraulic (T-H) first principles and not use the conventional event-basis structure. This allows for generic comprehensive knowledge, relatively small knowledge bases and above all the possibility of T-H system/plant independence. To demonstrate concept feasibility the knowledge structure has been implemented in the diagnostic module PRODIAG. Promising laboratory testing results have been obtained using data from the full scope Braidwood PWR operator training simulator. This knowledge structure is now being implemented in the transient management module PROMANA to treat unanticipated events and the PROTREN module is being developed to process actual plant data. Achievement of the IGENPRO R&D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management.

  7. Knowledge-based sizing of cogeneration plant in buildings

    SciTech Connect (OSTI)

    Williams, J.M.; Griffiths, A.J.; Knight, I.P.

    1998-10-01

    Cogeneration is now accepted as a cost-effective and environmentally friendly means of meeting some of a building`s heating and power needs. Cogeneration plants have been installed in many buildings throughout the United Kingdom. Because of commercial pressures, building owners and cogeneration companies are keen to reduce the time and money involved in sizing units, and a decision support tool has been developed to aid the engineer in selecting the unit size. An initial assessment of the sizing can be made with only knowledge of the building`s type, size, and location, which enables the model to be used in new build situations. For an existing building, the accuracy of the predictions can then be progressively improved by providing more information about the building`s energy use, enabling the optimum unit to be identified. This paper briefly describes the model and demonstrates its use through an example feasibility study.

  8. Knowledge-based Information Agents Xiaoying Gao 1 and Leon Sterling 2

    E-Print Network [OSTI]

    Gao, Xiaoying "Sharon"

    Knowledge-based Information Agents Xiaoying Gao 1 and Leon Sterling 2 1 School of Mathematical of Computer Science and Software Engineering The University of Melbourne Victoria, 3010, Australia leon as an inference engine. We assume the knowledge can be separated from the information extraction process. Instead

  9. The Acquisition of Qualitative Physics Knowledge during Textbook-Based Physics Training

    E-Print Network [OSTI]

    VanLehn, Kurt

    The Acquisition of Qualitative Physics Knowledge during Textbook-Based Physics Training Rolf Several earlier investigations found that teaching standard textbook physics causes only moderate change in qualitative understanding. Many investigations have tried to explain why teaching textbook physics results

  10. Representing Temporal Knowledge for Case-Based Prediction

    E-Print Network [OSTI]

    Aamodt, Agnar

    well drilling. 1 Introduction Most current CBR systems represent episodes as distinct snap. Our focus is on prediction problems for avoiding faulty situations. Based on a well-established theory-intensive CBR system Creek. The paper presents the theoretical foundation of the method, the representation

  11. A KnowledgeBased Approach for Retrieving Images by Content \\Lambda

    E-Print Network [OSTI]

    California at Los Angeles, University of

    image based on the standard deviation of the features. Independent of the target data values, the same. In an image data space, many features are based on multiple attributes. For example, location requiresA Knowledge­Based Approach for Retrieving Images by Content \\Lambda Chih­Cheng Hsu, Wesley W. Chu

  12. Knowledge-based analysis of microarray gene expression data by using support vector machines

    E-Print Network [OSTI]

    Ares Jr., Manny

    Knowledge-based analysis of microarray gene expression data by using support vector machines to predict functional roles for unchar- acterized yeast ORFs based on their expression data. DNA microarray to discriminate between the members and non-members of a given functional class based on expression data. Having

  13. i-footman: A Knowledge-Based Framework for Football Managers

    E-Print Network [OSTI]

    Panagiotis, Stamatopoulos

    i-footman: A Knowledge-Based Framework for Football Managers Vassilis Papataxiarhis, Vassileios-based framework aiming to provide assistive services to football managers. More precisely, the system accommodates a number of managing processes (e.g., selection of team composition) in the context of football by adopting

  14. BENCHMARKING THE TRANSITION TO AGILE MANUFACTURING: A KNOWLEDGE-BASED SYSTEMS APPROACH

    E-Print Network [OSTI]

    Wallingford, Eugene

    market share erosion to foreign-based "lean" 3 #12;manufacturers. These smaller, more flexible, and more inefficiencies associated with inflexible American-style mass-production. Lean manufacturers facilitatedBENCHMARKING THE TRANSITION TO AGILE MANUFACTURING: A KNOWLEDGE-BASED SYSTEMS APPROACH H. Fred

  15. AREX: A Knowledge-Based System for Auditor's Reports Mohamed A. Wahdan1

    E-Print Network [OSTI]

    Spronck, Pieter

    AREX: A Knowledge-Based System for Auditor's Reports Mohamed A. Wahdan1 , Pieter Spronck2 , Hamdi F. Ali3 , Eddy Vaassen4 , H.Jaap van den Herik5 Running title: Auditor Report Expert System-Based System for Auditor's Reports Mohamed A. Wahdan, Maastricht School of Management, The Netherlands Pieter

  16. Biomedical Named Entity Recognition: A Poor Knowledge HMM-Based Approach

    E-Print Network [OSTI]

    Rosso, Paolo

    Biomedical Named Entity Recognition: A Poor Knowledge HMM-Based Approach Natalia Ponomareva, Ferran of biomedical enti- ties. In this paper we present our Hidden Markov Model (HMM)-based biomedical NER system the problem of non- uniform distribution among biomedical entity classes and to provide the system

  17. Japan-Mexico Rectors' Summit "Building-up innovative relations for a knowledge-based society"

    E-Print Network [OSTI]

    Katsumoto, Shingo

    Japan-Mexico Rectors' Summit "Building-up innovative relations for a knowledge-based society" Joint Statement On June 29, 2011, the Japan-Mexico Rectors' Summit was hosted by the University of Tokyo, at which the importance of elevating the strategic partnership between Mexico and Japan to a new stage through

  18. Interdisciplinarity at the Journal and Specialty Level: The Changing Knowledge Bases of the Journal

    E-Print Network [OSTI]

    Goldstone, Robert

    Interdisciplinarity at the Journal and Specialty Level: The Changing Knowledge Bases of the Journal during this same period. Interdiscipli- narity should be defined differently at the level of journals, & Okada, 1998; Van den Besselaar, in preparation; Von Eckardt, 2001)? The journal Cognitive Science pub

  19. CTSHIV: A Knowledge-Based System For the Management of HIV-infected Patients

    E-Print Network [OSTI]

    Pazzani, Michael J.

    See Ranjit Iyer Edison Schroeder Jeremiah Tilles Department of Information & Computer Science has developed. By monitoringthe HIV virus of the patient, the treatment strategy can be switched in response to mutations of the virus. CTSHIV contains a knowledge base that encodes information from

  20. From Field Notes Towards a Knowledge Base Piroska Lendvai, Steve Hunt

    E-Print Network [OSTI]

    Tilburg, Universiteit van

    . Introduction Besides housing collections of artifacts, cultural heritage institutions such as museums store machine learning tech- niques, to create several components of a knowledge base. The main softwares used In this example, the first unit up to the first comma com- prises the name of the animal collected, the next two

  1. Timedomain MRSI quantitation combining multivoxel processing, FIR based solvent suppression and prior knowledge

    E-Print Network [OSTI]

    Time­domain MRSI quantitation combining multivoxel processing, FIR based solvent suppression and prior knowledge P. Pels#, L. Vanhamme#, S. Van Hu#el#, and P. Van Hecke + # Katholieke Universiteit processing using a FIR filter for solvent suppression. The advantage of this multivoxel approach

  2. Italsim: A Knowledge-Based Simulation of a PCB Manufacturing Plant

    E-Print Network [OSTI]

    McLaren, Bruce Martin

    Italsim: A Knowledge-Based Simulation of a PCB Manufacturing Plant Claudio Brancaleoni, Luca Bugno and simulate a printed circuit board (PCB) manufacturing plant. The primary contribution of the system is its be executed by loading, as a starting state, a snapshot of a dynamic plant configuration. Italsim is currently

  3. LEARNING OUTCOMES FOR THE PSYCHOLOGY MAJOR Goal 1. Knowledge Base of Psychology

    E-Print Network [OSTI]

    Bucci, David J.

    LEARNING OUTCOMES FOR THE PSYCHOLOGY MAJOR Goal 1. Knowledge Base of Psychology Demonstrate in psychology. Learning Outcomes 1.1 Characterize the nature of psychology as a discipline. a. Identify and explain the primary objectives of psychology: describing, understanding, predicting, and controlling

  4. Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding

    E-Print Network [OSTI]

    Fernandez, Thomas

    Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding.Krasnogor@nottingham.ac.uk Abstract. An encoding scheme for protein folding on lattice models, inspired by parametric L that the occurrence of motifs and sub-structures is an important component in protein folding, and these sub

  5. --Accepted for publication in Knowledge Based Systems --Title: Entrainment, Dominance and Alliance in Supreme Court Hearings

    E-Print Network [OSTI]

    Benus, Stefan

    -- Accepted for publication in Knowledge Based Systems -- Title: Entrainment, Dominance by examining the role of entrainment -- - the propensity of conversational partners to behave like one another Court in the 2001 term. We examine several different measures of entrainment in justice-lawyer pairs

  6. ISPE: A knowledge-based system for fluidization studies. 1990 Annual report

    SciTech Connect (OSTI)

    Reddy, S.

    1991-01-01

    Chemical engineers use mathematical simulators to design, model, optimize and refine various engineering plants/processes. This procedure requires the following steps: (1) preparation of an input data file according to the format required by the target simulator; (2) excecuting the simulation; and (3) analyzing the results of the simulation to determine if all ``specified goals`` are satisfied. If the goals are not met, the input data file must be modified and the simulation repeated. This multistep process is continued until satisfactory results are obtained. This research was undertaken to develop a knowledge based system, IPSE (Intelligent Process Simulation Environment), that can enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant to perform a variety tasks related to process simulation. ASPEN, a widely used simulator by the US Department of Energy (DOE) at Morgantown Energy Technology Center (METC) was selected as the target process simulator in the project. IPSE, written in the C language, was developed using a number of knowledge-based programming paradigms: object-oriented knowledge representation that uses inheritance and methods, rulebased inferencing (includes processing and propagation of probabilistic information) and data-driven programming using demons. It was implemented using the knowledge based environment LASER. The relationship of IPSE with the user, ASPEN, LASER and the C language is shown in Figure 1.

  7. Knowledge based ranking algorithm for comparative assessment of post-closure care needs of closed landfills

    SciTech Connect (OSTI)

    Sizirici, Banu; Tansel, Berrin; Kumar, Vivek

    2011-06-15

    Post-closure care (PCC) activities at landfills include cap maintenance; water quality monitoring; maintenance and monitoring of the gas collection/control system, leachate collection system, groundwater monitoring wells, and surface water management system; and general site maintenance. The objective of this study was to develop an integrated data and knowledge based decision making tool for preliminary estimation of PCC needs at closed landfills. To develop the decision making tool, 11 categories of parameters were identified as critical areas which could affect future PCC needs. Each category was further analyzed by detailed questions which could be answered with limited data and knowledge about the site, its history, location, and site specific characteristics. Depending on the existing knowledge base, a score was assigned to each question (on a scale 1-10, as 1 being the best and 10 being the worst). Each category was also assigned a weight based on its relative importance on the site conditions and PCC needs. The overall landfill score was obtained from the total weighted sum attained. Based on the overall score, landfill conditions could be categorized as critical, acceptable, or good. Critical condition indicates that the landfill may be a threat to the human health and the environment and necessary steps should be taken. Acceptable condition indicates that the landfill is currently stable and the monitoring should be continued. Good condition indicates that the landfill is stable and the monitoring activities can be reduced in the future. The knowledge base algorithm was applied to two case study landfills for preliminary assessment of PCC performance.

  8. 5x20 Matrix for Knowledge Management Lifecycle Based on the Five C's Model and a Critical Review

    E-Print Network [OSTI]

    5x20 Matrix for Knowledge Management Lifecycle Based on the Five C's Model and a Critical Review, share, transfer and apply knowledge. This paper concludes by suggesting a matrix in a bid to comparing and processes. The paper concludes with developing a 5x20 matrix that elucidate how the five C's model

  9. Parametric Grid Information in the DOE Knowledge Base: Data Preparation, Storage, and Access

    SciTech Connect (OSTI)

    HIPP,JAMES R.; MOORE,SUSAN G.; MYERS,STEPHEN C.; SCHULTZ,CRAIG A.; SHEPHERD,ELLEN; YOUNG,CHRISTOPHER J.

    1999-10-01

    The parametric grid capability of the Knowledge Base provides an efficient, robust way to store and access interpolatable information which is needed to monitor the Comprehensive Nuclear Test Ban Treaty. To meet both the accuracy and performance requirements of operational monitoring systems, we use a new approach which combines the error estimation of kriging with the speed and robustness of Natural Neighbor Interpolation (NNI). The method involves three basic steps: data preparation (DP), data storage (DS), and data access (DA). The goal of data preparation is to process a set of raw data points to produce a sufficient basis for accurate NNI of value and error estimates in the Data Access step. This basis includes a set of nodes and their connectedness, collectively known as a tessellation, and the corresponding values and errors that map to each node, which we call surfaces. In many cases, the raw data point distribution is not sufficiently dense to guarantee accurate error estimates from the NNI, so the original data set must be densified using a newly developed interpolation technique known as Modified Bayesian Kriging. Once appropriate kriging parameters have been determined by variogram analysis, the optimum basis for NNI is determined in a process they call mesh refinement, which involves iterative kriging, new node insertion, and Delauny triangle smoothing. The process terminates when an NNI basis has been calculated which will fir the kriged values within a specified tolerance. In the data storage step, the tessellations and surfaces are stored in the Knowledge Base, currently in a binary flatfile format but perhaps in the future in a spatially-indexed database. Finally, in the data access step, a client application makes a request for an interpolated value, which triggers a data fetch from the Knowledge Base through the libKBI interface, a walking triangle search for the containing triangle, and finally the NNI interpolation.

  10. PAINTING TALENT QUESTIONNAIRE: Before beginning painting warm-up session

    E-Print Network [OSTI]

    Haro, Antonio

    PAINTING TALENT QUESTIONNAIRE: Before beginning painting warm-up session: Age: _______ Gender: M the following questions: (1) Have you ever painted as an artistic activity, as opposed to painting a house? Yes / No (1a) If you answered yes to Question 1, when was the last time you painted? (2) Have you ever drawn

  11. A knowledge-based method for making restoration plan of bulk power system

    SciTech Connect (OSTI)

    Shimakura, K.; Inagaki, J.; Matsunoki, Y. (Hokkaido Univ., Sapporo (Japan). Faculty of Science); Ito, M.; Fukui, S.; Hori, S. (Mitsubishi Electric Corp., 1-1-2 Wadasaki-cho, Hyogo-ku, Kobe (JP))

    1992-05-01

    In this paper a knowledge-based method is proposed for use in event of power system outages. This method uses general-purpose restoration knowledge not dependent on pre-outage system states in order to generate post-restoration target systems in which post-outage systems are taken as initial states. Conventionally post-outage system states are formed to emulate as closely as possible pre-outage system states, with system operations performed only within blackout systems. Therefore, depending on the amount of pre-outage load, some outage loads may be experienced in the restored system. Proposed here is a method by which system operations in both blackout systems and sound systems are combined according to the amount of load in the pre-outage systems, so that post-restoration system states with minimal outage loads from post-outage systems will be generated. A prototype system incorporating actual power systems and utilizing this method was built and tested under simulated conditions. The effectiveness of the proposed system is discussed on the basis of the test results.

  12. Case-based reasoning on e-community knowledge Emmanuelle Gaillard1235

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    - edge. In order to preserve the quality of reasoning, we have designed a meta- knowledge model, called MKM, to manage knowledge coming from (non-expert) hal-00918518,version1-13Dec2013 Author manuscript in Section 3. Section 4 details the global process for meta-knowledge management, and Sec- tion 5 shows how

  13. A knowledge-based approach of seismic interpretation : horizon and dip-fault detection by means of cognitive vision.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A knowledge-based approach of seismic interpretation : horizon and dip-fault detection by means presents preliminary results obtained through a new seismic interpretation methodology based on cognitive building process. The efforts currently made to improve seismic interpretation are mainly focused

  14. Knowledge-based Patient Data Generation Zhisheng Huang, Frank van Harmelen, Annette ten Teije, and Kathrin Dentler

    E-Print Network [OSTI]

    van Harmelen, Frank

    Knowledge-based Patient Data Generation Zhisheng Huang, Frank van Harmelen, Annette ten Teije and the quality of the data. By defining the required format, data can easily be generated based on realistic,Frank.van.Harmelen,annette,k.dentler}@cs.vu.nl Abstract. The development and investigation of medical applications require patient data from various

  15. Proceedings of the 25th Seismic Research Review -- Nuclear Explosion Monitoring: Building the Knowledge Base

    SciTech Connect (OSTI)

    Chavez, Francesca C.; Mendius, E. Louise

    2003-09-23

    These proceedings contain papers prepared for the 25th Seismic Research Review -- Nuclear Explosion Monitoring: Building the Knowledge Base, held 23-25 September, 2003 in Tucson, Arizona. These papers represent the combined research related to ground-based nuclear explosion monitoring funded by the National Nuclear Security Administration (NNSA), Defense Threat Reduction Agency (DTRA), Air Force Research Laboratory (AFRL), US Army Space and Missile Defense Command, and other invited sponsors. The scientific objectives of the research are to improve the United States capability to detect, locate, and identify nuclear explosions. The purpose of the meeting is to provide the sponsoring agencies, as well as potential users, an opportunity to review research accomplished during the preceding year and to discuss areas of investigation for the coming year. For the researchers, it provides a forum for the exchange of scientific information toward achieving program goals, and an opportunity to discuss results and future plans. Paper topics include: seismic regionalization and calibration; detection and location of sources; wave propagation from source to receiver; the nature of seismic sources, including mining practices; hydroacoustic, infrasound, and radionuclide methods; on-site inspection; and data processing.

  16. Knowledge-based analysis of microarray gene expression data by using support vector machines

    SciTech Connect (OSTI)

    William Grundy; Manuel Ares, Jr.; David Haussler

    2001-06-18

    The authors introduce a method of functionally classifying genes by using gene expression data from DNA microarray hybridization experiments. The method is based on the theory of support vector machines (SVMs). SVMs are considered a supervised computer learning method because they exploit prior knowledge of gene function to identify unknown genes of similar function from expression data. SVMs avoid several problems associated with unsupervised clustering methods, such as hierarchical clustering and self-organizing maps. SVMs have many mathematical features that make them attractive for gene expression analysis, including their flexibility in choosing a similarity function, sparseness of solution when dealing with large data sets, the ability to handle large feature spaces, and the ability to identify outliers. They test several SVMs that use different similarity metrics, as well as some other supervised learning methods, and find that the SVMs best identify sets of genes with a common function using expression data. Finally, they use SVMs to predict functional roles for uncharacterized yeast ORFs based on their expression data.

  17. Introduction to Knowledge Compilation

    E-Print Network [OSTI]

    Huang, Jinbo

    Introduction to Knowledge Compilation Jinbo Huang NICTA and Australian National University (based in part on Adnan Darwiche's tutorial) Jinbo Huang Introduction to Knowledge Compilation #12;Propositional Huang Introduction to Knowledge Compilation #12;Truth of Sentences Burglary Earthquake Alarm 1

  18. Strategic Plan for Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    SciTech Connect (OSTI)

    Rich Johnson; Kimberlyn C. Mousseau; Hyung Lee

    2011-09-01

    NE-KAMS knowledge base will assist computational analysts, physics model developers, experimentalists, nuclear reactor designers, and federal regulators by: (1) Establishing accepted standards, requirements and best practices for V&V and UQ of computational models and simulations, (2) Establishing accepted standards and procedures for qualifying and classifying experimental and numerical benchmark data, (3) Providing readily accessible databases for nuclear energy related experimental and numerical benchmark data that can be used in V&V assessments and computational methods development, (4) Providing a searchable knowledge base of information, documents and data on V&V and UQ, and (5) Providing web-enabled applications, tools and utilities for V&V and UQ activities, data assessment and processing, and information and data searches. From its inception, NE-KAMS will directly support nuclear energy research, development and demonstration programs within the U.S. Department of Energy (DOE), including the Consortium for Advanced Simulation of Light Water Reactors (CASL), the Nuclear Energy Advanced Modeling and Simulation (NEAMS), the Light Water Reactor Sustainability (LWRS), the Small Modular Reactors (SMR), and the Next Generation Nuclear Power Plant (NGNP) programs. These programs all involve computational modeling and simulation (M&S) of nuclear reactor systems, components and processes, and it is envisioned that NE-KAMS will help to coordinate and facilitate collaboration and sharing of resources and expertise for V&V and UQ across these programs. In addition, from the outset, NE-KAMS will support the use of computational M&S in the nuclear industry by developing guidelines and recommended practices aimed at quantifying the uncertainty and assessing the applicability of existing analysis models and methods. The NE-KAMS effort will initially focus on supporting the use of computational fluid dynamics (CFD) and thermal hydraulics (T/H) analysis for M&S of nuclear reactor systems, components and processes, and will later expand to include materials, fuel system performance and other areas of M&S as time and funding allow.

  19. Better Knowledge Management Through Knowledge Engineering

    E-Print Network [OSTI]

    Preece, Alun

    Better Knowledge Management Through Knowledge Engineering: A Case Study in Drilling Optimisation management by a drilling optimisation group within a large service company. The three facets of the knowledge be built using conventional database software, special-purpose case-based reasoning or knowledge

  20. The use case specification of actions in the goal oriented knowledge based learning environment

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    an adaptive control of the enhanced learning process according to the requirements of student's knowledge place the learning style preferred by the student, then suitable methodologies which allow performing and support a new paradigm focused on knowledge construction using experiential and collaborative learning

  1. Fuzzy Linguistic Knowledge Based Behavior Extraction for Building Energy Management Systems

    SciTech Connect (OSTI)

    Dumidu Wijayasekara; Milos Manic

    2013-08-01

    Significant portion of world energy production is consumed by building Heating, Ventilation and Air Conditioning (HVAC) units. Thus along with occupant comfort, energy efficiency is also an important factor in HVAC control. Modern buildings use advanced Multiple Input Multiple Output (MIMO) control schemes to realize these goals. However, since the performance of HVAC units is dependent on many criteria including uncertainties in weather, number of occupants, and thermal state, the performance of current state of the art systems are sub-optimal. Furthermore, because of the large number of sensors in buildings, and the high frequency of data collection, large amount of information is available. Therefore, important behavior of buildings that compromise energy efficiency or occupant comfort is difficult to identify. This paper presents an easy to use and understandable framework for identifying such behavior. The presented framework uses human understandable knowledge-base to extract important behavior of buildings and present it to users via a graphical user interface. The presented framework was tested on a building in the Pacific Northwest and was shown to be able to identify important behavior that relates to energy efficiency and occupant comfort.

  2. Soybean Knowledge Base (SoyKB): a Web Resource for Soybean Translational Genomics

    SciTech Connect (OSTI)

    Joshi, Trupti; Patil, Kapil; Fitzpatrick, Michael R.; Franklin, Levi D.; Yao, Qiuming; Cook, Jeffrey R.; Wang, Zhem; Libault, Marc; Brechenmacher, Laurent; Valliyodan, Babu; Wu, Xiaolei; Cheng, Jianlin; Stacey, Gary; Nguyen, Henry T.; Xu, Dong

    2012-01-17

    Background: Soybean Knowledge Base (SoyKB) is a comprehensive all-inclusive web resource for soybean translational genomics. SoyKB is designed to handle the management and integration of soybean genomics, transcriptomics, proteomics and metabolomics data along with annotation of gene function and biological pathway. It contains information on four entities, namely genes, microRNAs, metabolites and single nucleotide polymorphisms (SNPs). Methods: SoyKB has many useful tools such as Affymetrix probe ID search, gene family search, multiple gene/ metabolite search supporting co-expression analysis, and protein 3D structure viewer as well as download and upload capacity for experimental data and annotations. It has four tiers of registration, which control different levels of access to public and private data. It allows users of certain levels to share their expertise by adding comments to the data. It has a user-friendly web interface together with genome browser and pathway viewer, which display data in an intuitive manner to the soybean researchers, producers and consumers. Conclusions: SoyKB addresses the increasing need of the soybean research community to have a one-stop-shop functional and translational omics web resource for information retrieval and analysis in a user-friendly way. SoyKB can be publicly accessed at http://soykb.org/.

  3. Strategic Plan for Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    SciTech Connect (OSTI)

    Kimberlyn C. Mousseau

    2011-10-01

    The Nuclear Energy Computational Fluid Dynamics Advanced Modeling and Simulation (NE-CAMS) system is being developed at the Idaho National Laboratory (INL) in collaboration with Bettis Laboratory, Sandia National Laboratory (SNL), Argonne National Laboratory (ANL), Utah State University (USU), and other interested parties with the objective of developing and implementing a comprehensive and readily accessible data and information management system for computational fluid dynamics (CFD) verification and validation (V&V) in support of nuclear energy systems design and safety analysis. The two key objectives of the NE-CAMS effort are to identify, collect, assess, store and maintain high resolution and high quality experimental data and related expert knowledge (metadata) for use in CFD V&V assessments specific to the nuclear energy field and to establish a working relationship with the U.S. Nuclear Regulatory Commission (NRC) to develop a CFD V&V database, including benchmark cases, that addresses and supports the associated NRC regulations and policies on the use of CFD analysis. In particular, the NE-CAMS system will support the Department of Energy Office of Nuclear Energy Advanced Modeling and Simulation (NEAMS) Program, which aims to develop and deploy advanced modeling and simulation methods and computational tools for reliable numerical simulation of nuclear reactor systems for design and safety analysis. Primary NE-CAMS Elements There are four primary elements of the NE-CAMS knowledge base designed to support computer modeling and simulation in the nuclear energy arena as listed below. Element 1. The database will contain experimental data that can be used for CFD validation that is relevant to nuclear reactor and plant processes, particularly those important to the nuclear industry and the NRC. Element 2. Qualification standards for data evaluation and classification will be incorporated and applied such that validation data sets will result in well-defined, well-characterized data. Element 3. Standards will be established for the design and operation of experiments for the generation of new validation data sets that are to be submitted to NE-CAMS that addresses the completeness and characterization of the dataset. Element 4. Standards will be developed for performing verification and validation (V&V) to establish confidence levels in CFD analyses of nuclear reactor processes; such processes will be acceptable and recognized by both CFD experts and the NRC.

  4. SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data

    E-Print Network [OSTI]

    Reiter, Ehud

    SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data Jin Yu of Aberdeen Aberdeen, AB24 3UE, UK {jyu, ereiter, jhunter, ssripada}@csd.abdn.ac.uk Abstract: SumTime-Turbine produces textual summaries of archived time- series data from gas turbines. These summaries should help

  5. A knowledge-based cone-beam x-ray CT algorithm for dynamic volumetric cardiac imaging

    E-Print Network [OSTI]

    Wang, Ge

    A knowledge-based cone-beam x-ray CT algorithm for dynamic volumetric cardiac imaging Ge Wanga, and wider coverage with multislice/cone- beam CT indicate a great potential for dynamic volumetric imaging/ helical multislice/cone-beam CT approach for dynamic volumetric cardiac imaging. This approach assumes

  6. KNOWLEDGE MANAGEMENT FOR INDUSTRIAL SAFETY, GENERIC RESOURCE PLATFORM COMBINED WITH AN ONTOLOGY BASED APPROACH

    E-Print Network [OSTI]

    Boyer, Edmond

    the regulatory framework to the details of a machine or a process but also includes the general knowledge about conclusions concerning the petrochemical industry, Z. Nivolianitou considers that there is a lack of proper

  7. Considerations on research efficiency and knowledge transfer in environmentally-based research groups

    E-Print Network [OSTI]

    Hernandez, Omar R

    2008-01-01

    A literature survey of how research groups and communities go about sharing ideas and transfer knowledge was performed. Previous studies were explored and used to ascertain how research groups spend their time. Collaborative ...

  8. Identifying linguistically diverse students as gifted and talented: a qualitative study of adding a new measure 

    E-Print Network [OSTI]

    Breedlove, Lynette

    2009-05-15

    ix LIST OF TABLES TABLE 1 A Comparison of Demographic Information?????..??? 2 Participant Information????????????????? 3 Information on Participants in Composite Hortencia?.................. 4 Number of Comments by Each Participant... their gifted and talented programs (Texas Education Agency, 2000). This dissertation follows the style of Gifted Child Quarterly. 2 Linguistically diverse students are not referred and tested for potential inclusion in gifted and talented programs...

  9. Selection Process for Third and Fourth Grade African American Gifted and Talented: A Case Study in One Urban School District 

    E-Print Network [OSTI]

    Brazile, Ruth Delories

    2011-10-21

    : Percentage of reporting districts offering Gifted and Talented . .......... 16 Table II-2: Representation Ratio of African and European Americans. ................ 31 Table IV-1: Demographics by Gender, Age, Ethnicity and Grade Taught. ........... 82... and Talented Program. .............................................................................................. 16 Figure II-2: Representation of African American and European American students in Gifted and Talented programs (states A...

  10. A survey of Existing V&V, UQ and M&S Data and Knowledge Bases in Support of the Nuclear Energy - Knowledge base for Advanced Modeling and Simulation (NE-KAMS)

    SciTech Connect (OSTI)

    Hyung Lee; Rich Johnson, Ph.D.; Kimberlyn C. Moussesau

    2011-12-01

    The Nuclear Energy - Knowledge base for Advanced Modeling and Simulation (NE-KAMS) is being developed at the Idaho National Laboratory in conjunction with Bettis Laboratory, Sandia National Laboratories, Argonne National Laboratory, Oak Ridge National Laboratory, Utah State University and others. The objective of this consortium is to establish a comprehensive knowledge base to provide Verification and Validation (V&V) and Uncertainty Quantification (UQ) and other resources for advanced modeling and simulation (M&S) in nuclear reactor design and analysis. NE-KAMS will become a valuable resource for the nuclear industry, the national laboratories, the U.S. NRC and the public to help ensure the safe operation of existing and future nuclear reactors. A survey and evaluation of the state-of-the-art of existing V&V and M&S databases, including the Department of Energy and commercial databases, has been performed to ensure that the NE-KAMS effort will not be duplicating existing resources and capabilities and to assess the scope of the effort required to develop and implement NE-KAMS. The survey and evaluation have indeed highlighted the unique set of value-added functionality and services that NE-KAMS will provide to its users. Additionally, the survey has helped develop a better understanding of the architecture and functionality of these data and knowledge bases that can be used to leverage the development of NE-KAMS.

  11. Knowledge-based Scienti c Discovery in Geological Databases Cen Li and Gautam Biswas

    E-Print Network [OSTI]

    from oil elds in the Alaska Basin. Preliminary results demonstrate the e ectiveness of this method is be- coming crucial in oil exploration and production. It is common knowledge in the oil industry that the typical cost of drillinga new o shore well is in the range of $30- 40million,but the chance of that site

  12. A novel school-based intervention to improve nutrition knowledge in children: cluster randomised controlled trial

    E-Print Network [OSTI]

    Lakshman, Rajalakshmi R.; Sharp, Stephen J.; Ong, Ken K.; Forouhi, Nita G.

    2010-03-10

    Color My Pyramid. Journal of School Nursing 2009, 25:230-239. 44. Ellis RM, Ellis RC: Impact of a traffic light nutrition tool in a primary school. J R Soc Promot Health 2007, 127:13-21. 45. Devine CM, Olson CM, Frongillo EA: Impact of the Nutrition... for Life Program on Junior-High Students in New-York-State. Journal of School Health 1992, 62:381-385. 46. Garcia-Lascurain MC, Kicklighter JR, Jonnalagadda SS, Boudolf EA, Duchon D: Effect of a nutrition education program on nutrition-related knowledge...

  13. A Knowledge-Based Approach to Improving and Homogenizing Intensity Modulated Radiation Therapy Planning Quality Among Treatment Centers: An Example Application to Prostate Cancer Planning

    SciTech Connect (OSTI)

    Good, David [Medical Physics Graduate Program, Duke University, Durham, North Carolina (United States); Lo, Joseph [Medical Physics Graduate Program, Duke University, Durham, North Carolina (United States); Department of Radiology and Departments of Biomedical Engineering and Electrical and Computer Engineering, Duke University, Durham, North Carolina (United States); Lee, W. Robert [Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina (United States); Wu, Q. Jackie; Yin, Fang-Fang [Medical Physics Graduate Program, Duke University, Durham, North Carolina (United States); Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina (United States); Das, Shiva K., E-mail: shiva.das@duke.edu [Medical Physics Graduate Program, Duke University, Durham, North Carolina (United States); Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina (United States)

    2013-09-01

    Purpose: Intensity modulated radiation therapy (IMRT) treatment planning can have wide variation among different treatment centers. We propose a system to leverage the IMRT planning experience of larger institutions to automatically create high-quality plans for outside clinics. We explore feasibility by generating plans for patient datasets from an outside institution by adapting plans from our institution. Methods and Materials: A knowledge database was created from 132 IMRT treatment plans for prostate cancer at our institution. The outside institution, a community hospital, provided the datasets for 55 prostate cancer cases, including their original treatment plans. For each “query” case from the outside institution, a similar “match” case was identified in the knowledge database, and the match case’s plan parameters were then adapted and optimized to the query case by use of a semiautomated approach that required no expert planning knowledge. The plans generated with this knowledge-based approach were compared with the original treatment plans at several dose cutpoints. Results: Compared with the original plan, the knowledge-based plan had a significantly more homogeneous dose to the planning target volume and a significantly lower maximum dose. The volumes of the rectum, bladder, and femoral heads above all cutpoints were nominally lower for the knowledge-based plan; the reductions were significantly lower for the rectum. In 40% of cases, the knowledge-based plan had overall superior (lower) dose–volume histograms for rectum and bladder; in 54% of cases, the comparison was equivocal; in 6% of cases, the knowledge-based plan was inferior for both bladder and rectum. Conclusions: Knowledge-based planning was superior or equivalent to the original plan in 95% of cases. The knowledge-based approach shows promise for homogenizing plan quality by transferring planning expertise from more experienced to less experienced institutions.

  14. Why the Los Alamos Postdoc Career Fair is an excellent opportunity to hire top talent

    E-Print Network [OSTI]

    : § A candidate pool of more than 400 Ph.D.s and 400 GRAs from top U.S. and interna. · Excellent organiza;on and assistance. · Pipeline of talent for DOE labs Alamos, New Mexico Los Alamos Na

  15. Foundations of Artificial Intelligence Knowledge Representation

    E-Print Network [OSTI]

    Qu, Rong

    To introduce knowledge acquisition and knowledge engineering. To explain how knowledge is taken from a human. Knowledge Acquisition #12;The field of knowledge engineering can be defined as the process of assessing problems, acquiring knowledge and building knowledge based systems. Knowledge Engineering #12;Problem

  16. Foundations of Artificial Intelligence Knowledge Acquisition

    E-Print Network [OSTI]

    Qu, Rong

    knowledge acquisition and knowledge engineering. To explain how knowledge is taken from a human before being of knowledge engineering can be defined as the process of assessing problems, acquiring knowledge and building knowledge based systems. Knowledge Engineering Problem assessment Data and knowledge acquisition Bottleneck

  17. Amoeba-Based Knowledge Discovery Toshinori Munakata1*, Masashi Aono2, Masahiko Hara2

    E-Print Network [OSTI]

    Munakata, Toshinori

    par- adigms. 2 Amoeba-Based Computing A plasmodium of a true slime mold Physarum Polycephalum (Fig. 1a (fibrous proteins) taking contracting or relaxing states. Collectively interacting actomyosins in the gel layer generate rhythmic contraction-relaxation oscillation (period = 1~2 min) of vertical body thickness

  18. 1. Event Structuring as a General Approach to Building Knowledge in Time-Based Collections

    E-Print Network [OSTI]

    Ras, Zbigniew W.

    Ribarsky The University of North Carolina at Charlotte Zachary Wartell The University of North Carolina at Charlotte Wenwen Dou The University of North Carolina at Charlotte Keywords Time-based data collections sequence forms a narrative, or story. Such stories are powerful me- chanisms for human understanding

  19. Knowledge Discovery of Hydrocyclone s Circuit Based on SONFIS and SORST

    E-Print Network [OSTI]

    Ghaffari, H O; Irannajad, M

    2009-01-01

    This study describes application of some approximate reasoning methods to analysis of hydrocyclone performance. In this manner, using a combining of Self Organizing Map (SOM), Neuro-Fuzzy Inference System (NFIS)-SONFIS- and Rough Set Theory (RST)-SORST-crisp and fuzzy granules are obtained. Balancing of crisp granules and non-crisp granules can be implemented in close-open iteration. Using different criteria and based on granulation level balance point (interval) or a pseudo-balance point is estimated. Validation of the proposed methods, on the data set of the hydrocyclone is rendered.

  20. In order to attract the best talent in the world, Lund University invites you to become a corporate partner

    E-Print Network [OSTI]

    Linke, Heiner

    partner in an attractive scholarship competition. The competi- tion builds long-term relationships know that the students who enter are looking for openings to work in the industry during Master's programmes. Challenge yourself and attract global talent Search for global talent #12;DESIGN

  1. High Level Requirements for the Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    SciTech Connect (OSTI)

    Rich Johnson; Hyung Lee; Kimberlyn C. Mousseau

    2011-09-01

    The US Department of Energy, Office of Nuclear Energy (DOE-NE), has been tasked with the important mission of ensuring that nuclear energy remains a compelling and viable energy source in the U.S. The motivations behind this mission include cost-effectively meeting the expected increases in the power needs of the country, reducing carbon emissions and reducing dependence on foreign energy sources. In the near term, to ensure that nuclear power remains a key element of U.S. energy strategy and portfolio, the DOE-NE will be working with the nuclear industry to support safe and efficient operations of existing nuclear power plants. In the long term, to meet the increasing energy needs of the U.S., the DOE-NE will be investing in research and development (R&D) and working in concert with the nuclear industry to build and deploy new, safer and more efficient nuclear power plants. The safe and efficient operations of existing nuclear power plants and designing, licensing and deploying new reactor designs, however, will require focused R&D programs as well as the extensive use and leveraging of advanced modeling and simulation (M&S). M&S will play a key role in ensuring safe and efficient operations of existing and new nuclear reactors. The DOE-NE has been actively developing and promoting the use of advanced M&S in reactor design and analysis through its R&D programs, e.g., the Nuclear Energy Advanced Modeling and Simulation (NEAMS) and Consortium for Advanced Simulation of Light Water Reactors (CASL) programs. Also, nuclear reactor vendors are already using CFD and CSM, for design, analysis, and licensing. However, these M&S tools cannot be used with confidence for nuclear reactor applications unless accompanied and supported by verification and validation (V&V) and uncertainty quantification (UQ) processes and procedures which provide quantitative measures of uncertainty for specific applications. The Nuclear Energy Knowledge base for Advanced Modeling and Simulation (NE-KAMS) is being developed at the Idaho National Laboratory in conjunction with Bettis Laboratory, Sandia National Laboratories, Argonne National Laboratory, Utah State University and others with the objective of establishing a comprehensive and web-accessible knowledge base that will provide technical services and resources for V&V and UQ of M&S in nuclear energy sciences and engineering. The knowledge base will serve as an important resource for technical exchange and collaboration that will enable credible and reliable computational models and simulations for application to nuclear reactor design, analysis and licensing. NE-KAMS will serve as a valuable resource for the nuclear industry, academia, the national laboratories, the U.S. Nuclear Regulatory Commission (NRC) and the public and will help ensure the safe, economical and reliable operation of existing and future nuclear reactors. From its inception, NE-KAMS will directly support nuclear energy research, development and demonstration programs within the U.S. Department of Energy (DOE), including the CASL, NEAMS, Light Water Reactor Sustainability (LWRS), Small Modular Reactors (SMR), and Next Generation Nuclear Power Plant (NGNP) programs. These programs all involve M&S of nuclear reactor systems, components and processes, and it is envisioned that NE-KAMS will help to coordinate and facilitate collaboration and sharing of resources and expertise for V&V and UQ across these programs.

  2. Semantic Interoperability in the Fixed Income Securities Industry: A Knowledge Representation Architecture for Dynamic Integration of Web-Based Information

    E-Print Network [OSTI]

    Moulton, Allen

    2003-02-10

    We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, ...

  3. Big Data Big Talent The Master's in Business Analytics program starting Spring 2015 is designed to

    E-Print Network [OSTI]

    Huang, Haiying

    Business Analytics Big Data Big Talent The Master's in Business Analytics program starting Spring Intelligence Web and Social Analytics Big Data Analytics Python for Data Analytics Forecasting Applied 2015 is designed to create an empowered workforce that understands how data - regardless of size

  4. Knowledge Sharing Technology Stanford University KnowledgeSharingTechnology

    E-Print Network [OSTI]

    Pratt, Vaughan

    knowledge base to be constructed from scratch. As a result, most systems remain small to medium in size . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15 3.2. Ontolingua: An Ontology Development Environment. Although tools have been developed to help with knowledge acquisition, knowledge base construction remains

  5. Published in `AI Communications 9 journal', pp1-17. Published by IOS Press (1996) TIGERTM: Knowledge Based Gas Turbine Condition Monitoring

    E-Print Network [OSTI]

    Travé-Massuyès, Louise

    1996-01-01

    : Knowledge Based Gas Turbine Condition Monitoring Dr. Robert Milne and Dr. Charlie Nicol Intelligent, 11 Colon, Barcelona, 08222 Terrassa. Spain 1. INTRODUCTION Given the critical nature of gas turbines and increasing the availability of the gas turbine. Routine preventative maintenance techniques have been used

  6. Scaffolding middle school students' content knowledge and ill-structured problem solving in a problem-based hypermedia learning environment 

    E-Print Network [OSTI]

    Bulu, Saniye Tugba

    2009-05-15

    of scientific content and problem-solving outcomes. Second, the study examined whether students’ prior knowledge and meta cognitive skills predict their success in problem solving across different scaffolding conditions. A total of nineteen classes were randomly...

  7. Knowledge information management toolkit and method

    DOE Patents [OSTI]

    Hempstead, Antoinette R.; Brown, Kenneth L.

    2006-08-15

    A system is provided for managing user entry and/or modification of knowledge information into a knowledge base file having an integrator support component and a data source access support component. The system includes processing circuitry, memory, a user interface, and a knowledge base toolkit. The memory communicates with the processing circuitry and is configured to store at least one knowledge base. The user interface communicates with the processing circuitry and is configured for user entry and/or modification of knowledge pieces within a knowledge base. The knowledge base toolkit is configured for converting knowledge in at least one knowledge base from a first knowledge base form into a second knowledge base form. A method is also provided.

  8. CONTENT KNOWLEDGE (Declarative Knowledge and Technical Skills): Students will demonstrate a broad knowledge of fundamental and applied engineering subjects: fluid

    E-Print Network [OSTI]

    Fernandez, Eduardo

    knowledge of fundamental and applied engineering subjects: fluid and solid mechanics, dynamics, hydrostatics System Design), students are required to have sound multi disciplinary knowledge of engineering' knowledge of engineering and science subjects and their achievement of technical skills based

  9. Evolution-based Learning of Ontological Knowledge for a Large-scale Multi-agent Simulation1

    E-Print Network [OSTI]

    Lazar, Alina

    a profound impact on the societies' physical and social environment. However, the task of developing a major impact on the efficiency and effectiveness of its use in a given application. In this paper we and social environments placed upon the agents and their interactions. The ontological knowledge represents

  10. Aiding Knowledge Capture by Searching for Extensions of Knowledge Models

    E-Print Network [OSTI]

    Leake, David B.

    , and provide a medium for building richly connected multimedia knowl- edge models--sets of linked concept maps knowledge among humans, not as carefully-crafted knowledge bases upon which machines will be performing and knowledge construction. The paper begins with a brief summary of the concept mapping process and the Cmap

  11. Active Knowledge

    E-Print Network [OSTI]

    Freuder, Eugene C.

    A progress report on the work described in Vision Flashes 33 and 43 on recognition of real objects. Emphasis is on the "active" use of knowledge in directing the flow of visual processing.

  12. Initial Screening for Gifted and Talented Programs: Increasing Participation of Hispanic English Language Learners 

    E-Print Network [OSTI]

    Esquierdo, J. Joy; Lara-Alecio, Rafael; Irby, Beverly

    2010-10-22

    -1 Initial Screening for Gifted and Talented Programs: Increasing Participation of Hispanic English Language Learners Dr. J. Joy Esquierdo, University of Texas-Pan American esquierdo@utpa.edu Dr. Rafael Lara-Alecio, Texas A&M University a... significant difference in performance of Hispanic kindergarten English language learners on the HBGSI by educational placement those who are served in transitional bilingual education (TBE) program versus those who are served in an English as a Second...

  13. A. Burns, A. Kusiak, and T. Letsche, Mining Transformed Data Sets, Proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, M.Gh. Negoita, R.J.

    E-Print Network [OSTI]

    Kusiak, Andrew

    . Letsche, Mining Transformed Data Sets, Proceedings of the 8th International Conference on Knowledge-BasedA. Burns, A. Kusiak, and T. Letsche, Mining Transformed Data Sets, Proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, M.Gh. Negoita, R

  14. Defining the knowledge base of our profession: a look at agricultural and extension education in the 21st century 

    E-Print Network [OSTI]

    Cummings, Gregory Aaron

    2005-08-29

    society is demanding be included for the 7 development of the most marketable professional agricultural educator in the 21st Century. Objectives The objectives of this research project were to: 1. Determine current core knowledge areas... statement with a 5 or 6 on a 1-6 rating scale. Contextual application: The use of an idea in a particular setting. Context facilitates or constrains the educator?s efforts through 1) its mission, philosophy, functions, structures, and processes, 2) its...

  15. EM Taps Talent of Minority Serving Institutions | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based|DepartmentStatementof EnergyQuality AssuranceTop1 EMEM

  16. Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS) Code Verification and Validation Data Standards and Requirements: Fluid Dynamics Version 1.0

    SciTech Connect (OSTI)

    Greg Weirs; Hyung Lee

    2011-09-01

    V&V and UQ are the primary means to assess the accuracy and reliability of M&S and, hence, to establish confidence in M&S. Though other industries are establishing standards and requirements for the performance of V&V and UQ, at present, the nuclear industry has not established such standards or requirements. However, the nuclear industry is beginning to recognize that such standards are needed and that the resources needed to support V&V and UQ will be very significant. In fact, no single organization has sufficient resources or expertise required to organize, conduct and maintain a comprehensive V&V and UQ program. What is needed is a systematic and standardized approach to establish and provide V&V and UQ resources at a national or even international level, with a consortium of partners from government, academia and industry. Specifically, what is needed is a structured and cost-effective knowledge base that collects, evaluates and stores verification and validation data, and shows how it can be used to perform V&V and UQ, leveraging collaboration and sharing of resources to support existing engineering and licensing procedures as well as science-based V&V and UQ processes. The Nuclear Energy Knowledge base for Advanced Modeling and Simulation (NE-KAMS) is being developed at the Idaho National Laboratory in conjunction with Bettis Laboratory, Sandia National Laboratories, Argonne National Laboratory, Utah State University and others with the objective of establishing a comprehensive and web-accessible knowledge base to provide V&V and UQ resources for M&S for nuclear reactor design, analysis and licensing. The knowledge base will serve as an important resource for technical exchange and collaboration that will enable credible and reliable computational models and simulations for application to nuclear power. NE-KAMS will serve as a valuable resource for the nuclear industry, academia, the national laboratories, the U.S. Nuclear Regulatory Commission (NRC) and the public and will help ensure the safe, economical and reliable operation of existing and future nuclear reactors.

  17. Situation and Perspective of Knowledge Engineering

    E-Print Network [OSTI]

    Staab, Steffen

    Situation and Perspective of Knowledge Engineering Rudi Studer1 , Stefan Decker2 , Dieter Fensel3, The Netherlands dieter@cs.vu.nl Abstract. Knowledge Engineering was in the past primarily concerned with building and developing knowledge-based systems, an objective which puts Knowledge Engineering in a niche of the world

  18. A Knowledge-Based System for Auditor's Reports Mohamed A. Wahdan, Maastricht School of Management, The Netherlands

    E-Print Network [OSTI]

    Spronck, Pieter

    -Based System for Auditor's Reports Mohamed A. Wahdan, Maastricht School of Management, The Netherlands Pieter corporations are required by law to produce a yearly report on their financial situation. This financial report is accompanied by an auditor's report, which is an independent auditor's opinion on the fairness of the financial

  19. What to expect from the National Science Foundation's T4 Project: Talented Teachers in Training for Texas

    E-Print Network [OSTI]

    Long, Nicholas

    What to expect from the National Science Foundation's T4 Project: Talented Teachers in Training Camp: Major within the College of Science and Mathematics (?? or Computer Science major) Cumulative GPA of 2.75 or above Completed freshman or sophomore year U.S. citizen, national, or permanent

  20. Knowledge Infusion Leslie G. Valiant

    E-Print Network [OSTI]

    Valiant, Leslie

    Knowledge Infusion Leslie G. Valiant Division of Engineering and Applied Sciences Harvard as by their economy in the use of external data. In this paper we propose a theoretical basis for knowl- edge infusion in terms of robust logic. Knowledge infusion based on robust logic can be distinguished from other cur

  1. Journal of Engineering Design, Vol. 15, No.4, pp. 327-351, August 2004 Ontology-based systematization of functional knowledge

    E-Print Network [OSTI]

    Mizoguchi, Riichiro

    engineering because it is deeply related to how we can deal with knowledge. Needless to say, design process engineering, which is the successor to knowledge engineering, has been expected to overcome some difficulties the conventional knowledge engineering cannot solve. The main objective of this paper is to propose an innovative

  2. Knowledge Market: Agent-mediated Knowledge Sharing

    E-Print Network [OSTI]

    Dignum, Frank

    , preservation and distribution of knowledge assets but mainly the management and nurturing of collaboration developments show a shift in the focus of Knowledge Management (KM) from knowledge organization of relevant knowledge in a dynamic, collaborative environment. - Preserve individual autonomy and contribute

  3. Re-engineering knowledge networks for development

    E-Print Network [OSTI]

    Raghavan, Amrith, 1976-

    2004-01-01

    This thesis examines the evolution of Internet based knowledge networks (e-knowledge networks) in the domain of sustainable development. The objective of this thesis is to use an engineering systems approach to understand ...

  4. CONTENT KNOWLEDGE (Declarative Knowledge): Students will demonstrate a broad knowledge of fundamental and applied engineering subjects: fluid and solid

    E-Print Network [OSTI]

    Fernandez, Eduardo

    ), students are required to have sound multidisciplinary knowledge of engineering and science subjects' knowledge of engineering and science subjects based on their performance in the senior design courses, formulate, and solve engineering problems by applying knowledge of mathematics, science and engineering

  5. Farmers' knowledge of soils in relation to cropping practices: A case study of farmers in upland rice based slash-and-burn

    E-Print Network [OSTI]

    van Kessel, Chris

    Farmers' knowledge of soils in relation to cropping practices: A case study of farmers in upland Understanding indigenous knowledge of soils has come to be seen as essential in understanding the local in relation to soil quality and cropping practices. Most farmers interviewed distinguished two or more soils

  6. Towards Continuous Knowledge Engineering Klaas Schilstra and Pieter Spronck

    E-Print Network [OSTI]

    Spronck, Pieter

    Towards Continuous Knowledge Engineering Klaas Schilstra and Pieter Spronck Knowledge Based Systems.schilstra; p.spronck}@bouw.tno.nl www.tno.nl Abstract: Continuous Knowledge Engineering is an alternative approach to knowledge engineering that embraces the philosophy that knowledge systems are open

  7. Indigenous Knowledges Driving Technological Innovation

    E-Print Network [OSTI]

    Johnson, Jay T.; Hi‘ iaka Working Group

    2011-09-01

    stewardship of the dominant culture often do not mesh well with the indigenous [sic] knowledge and values of a native community. —Eric Riggs, “Field-based Education and Indigenous Knowledge” In February 2011 a National Science Foundation–funded workshop... The Hi‘iaka Working Group, the workshop attendees, and co-authors are Lilian Alessa, Carlos Andrade, Phil Cash Cash, Christian P. Giardina, Matt Hamabata, Craig Hammer, Kai Henifin, Lee Joachim, Jay T. Johnson, Kekuhi Kealiikanakaoleohaililani, Deanna...

  8. City Knowledge Patterns: A Standard for Smart City Knowledge Management

    E-Print Network [OSTI]

    Fox, Mark S.

    City Knowledge Patterns: A Standard for Smart City Knowledge Management by Nooshin Allahyari Allahyar #12;! ! ! ! ii! ! City Knowledge Patterns: A Standard for Smart City Knowledge Management Nooshin......................................................................................................... 21 ! 3 City Knowledge Pattern

  9. Case-Based Reasoning Systems for Knowledge Mediation A.D. Griffiths, M.D. Harrison and A.M. Dearden

    E-Print Network [OSTI]

    Harrison, Michael

    specific purpose, however, is to support business planning carried out by company managers. We have taken to plan the maintenance and operation of a utility distribution network, by mediating knowledge from in the current paper, along with the relevant design issues. In a future paper we shall describe the evaluation

  10. Knowledge Media Institute Scholarly Discourse

    E-Print Network [OSTI]

    and implementation of a knowledge based hypertext environment called ScholOnto (for Scholarly Ontologies), which aims claims, argumentation and perspectives. A specialised web server will provide a medium for researchers to contest the significance of concepts and emergent structures. In so doing, participants construct

  11. Knowledge representations for sensemaking

    E-Print Network [OSTI]

    Nguyen, Hong-Linh Q

    2012-01-01

    I discuss the lessons learned during the design and implementation of three knowledge representations systems for sensemaking. The focus is on the tension that exists between a knowledge representation's role as a surrogate ...

  12. ISI Web of Knowledge111 -ISI Web of Knowledge

    E-Print Network [OSTI]

    Ben-Or, Michael

    ­ ISI Web of Knowledge111 © , . , , , . . , . , . . -ISI Web of Knowledge )http:// webofknowledge.com( , , , . . -ISI Web of Knowledge: Web of Science(-1691) , . Biosis Previews(-1661 ) - , , , . MEDLINE(-1611

  13. Time and Encoding Effects in the Concealed Knowledge Test

    E-Print Network [OSTI]

    Seymour, Travis L.; Fraynt, Becky R.

    2009-01-01

    The case for polygraph tests. In D. L. Faigman, D. H. Kaye,based guilty knowledge test. International Journal ofcountermeasures to P300-based tests of detection of

  14. Review: Knowledge and Environmental Policy

    E-Print Network [OSTI]

    Little, Peter C.

    2012-01-01

    Review: Knowledge and Environmental Policy: Re-Imagining theRobert. Knowledge and Environmental Policy: Re-Imagining thepaperback. Knowledge and Environmental Policy continues the

  15. Guidelines for Internal Recruiting of UT Austin IT Employees The university information technology workforce is comprised of many talented people who provide

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    and Operational IT Committee. Guidelines endorsed by the Strategic Information Technology Accountability Board1 Guidelines for Internal Recruiting of UT Austin IT Employees The university information technology workforce is comprised of many talented people who provide valuable and much needed service

  16. Collaborative Ontological Engineering of Instructional Design Knowledge for an ITS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Collaborative Ontological Engineering of Instructional Design Knowledge for an ITS Authoring could rely on content-based engineering of instructional design (ID) knowledge, i.e. based on principles. Collaborative Ontological Engineering of Instructional Design Knowledge: Challenges of such an Enterprise

  17. Applying knowledge to reverse engineering problems Robert B. Fisher

    E-Print Network [OSTI]

    Fisher, Bob

    made at Edinburgh University based on projects that apply domain knowledge of standard shapes exploring `knowledge- based' techniques to help overcome these and other problems. The underlying theme follow standard conventions arising from tradition, utility or engineering design. This is a "knowledge

  18. Recording Scientific Knowledge

    SciTech Connect (OSTI)

    Bowker, Geof (Santa Clara University) [Santa Clara University

    2006-01-09

    The way we record knowledge, and the web of technical, formal, and social practices that surrounds it, inevitably affects the knowledge that we record. The ways we hold knowledge about the past - in handwritten manuscripts, in printed books, in file folders, in databases - shape the kind of stories we tell about that past. In this talk, I look at how over the past two hundred years, information technology has affected the nature and production of scientific knowledge. Further, I explore ways in which the emergent new cyberinfrastructure is changing our relationship to scientific practice.

  19. In Proceedings of the Technology Demonstration Session of the 14th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2004, 5-8th October 2004 -Whittlebury Hall, Northamptonshire, UK.

    E-Print Network [OSTI]

    Tecuci, Gheorghe

    on Knowledge Engineering and Knowledge Management, EKAW 2004, 5-8th October 2004 - Whittlebury Hall assistance from knowledge engineers, to develop knowledge-based agents incorporating their expertise of knowledge bases and agents, by subject matter experts, with limited assistance from knowledge engineers [1

  20. PILOT'S HANDBOOK Aeronautical Knowledge

    E-Print Network [OSTI]

    #12;PILOT'S HANDBOOK of Aeronautical Knowledge 2003 U.S. DEPARTMENT OF TRANSPORTATION FEDERAL Matter.qxd 10/28/03 6:13 AM Page ii #12;iii PREFACE The Pilot's Handbook of Aeronautical Knowledge certification are presented. This handbook is useful to beginning pilots, as well as those pursuing more

  1. i-Seek : an intelligent system for eliciting and explaining knowledge

    E-Print Network [OSTI]

    Kumar, Ashwani, S.M. Massachusetts Institute of Technology

    2005-01-01

    We propose i-Seek, an Intelligent System for Eliciting and Explaining Knowledge that leverages the OpenMind [1] Commonsense knowledge base in conjunction with domain- specific knowledge in Personal Finance, Technical Help, ...

  2. Foundation of Knowledge Systematization: Role of Ontological Engineering

    E-Print Network [OSTI]

    Mizoguchi, Riichiro

    Foundation of Knowledge Systematization: Role of Ontological Engineering Riichiro Mizoguchi of view. Our knowledge systematization is based on ontological engineering to enable people to build is that ontological engineering provides us with the basis on which we can build knowledge and with computer

  3. Generic Knowledge Structures for Probabilistic-Network Engineering

    E-Print Network [OSTI]

    Utrecht, Universiteit

    Generic Knowledge Structures for Probabilistic-Network Engineering Eveline M. Helsper and Linda C, independent of any specific application domain. Upon using the library, the knowledge engineer selects customisation by the knowl- edge engineer. To allow for customisation, a knowledge structure should be based

  4. IKRAFT: Interactive Knowledge Representation and Acquisition From Text

    E-Print Network [OSTI]

    Gil, Yolanda

    of formality and specificity how each piece of knowledge in the system was derived from original sources, which are often Web sources. If a knowledge base contains a trace of information about how each piece of knowledge portions of those sources. These connections are initially very high level and informal, and our ultimate

  5. The knowledge economy in Europe A report prepared for the 2007 EU Spring Council

    E-Print Network [OSTI]

    Chen-Burger, Yun-Heh (Jessica)

    The knowledge economy in Europe A report prepared for the 2007 EU Spring Council Prepared by Ian. Knowledge industry employment in Europe 6 4. Moving towards a knowledge based economy in Europe 7 5 10 8. Investing in knowledge 11 9. Next steps 23 Sponsors for the knowledge economy programme include

  6. Review: Knowledge and Environmental Policy

    E-Print Network [OSTI]

    Little, Peter C.

    2012-01-01

    of environmental policy, environmental studies, politicalReview: Knowledge and Environmental Policy: Re-Imagining theRobert. Knowledge and Environmental Policy: Re-Imagining the

  7. Truth & Knowledge in Logic & Mathematics

    E-Print Network [OSTI]

    Sher, G

    2012-01-01

    In The princi- ples of mathematics (2nd ed. , pp. v—xiv).Knowledge in Logic 85 Mathematics Gila Sher Abstract In thistruth, knowledge, logic, mathematics, composite reference,

  8. Introduction Mapping knowledge domains

    E-Print Network [OSTI]

    Börner, Katy

    changes such as speed of growth and diversi- fication; highlight economic factors in information Department and School of Library and Information Science, Indiana University, Bloomington, IN 47405 The term that we have forgotten how recent is the change to computerized knowledge retrieval with search engines

  9. Endovascular Aortic Aneurysm Repair with the Talent Stent-Graft: Outcomes in Patients with Large Iliac Arteries

    SciTech Connect (OSTI)

    England, Andrew; Butterfield, John S.; McCollum, Charles N.; Ashleigh, Raymond J.

    2008-07-15

    The purpose of this study is to report outcomes following endovascular aneurysm repair (EVAR) of abdominal aortic aneurysm (AAA) in patients with ectatic common iliac arteries (CIAs). Of 117 AAA patients treated by EVAR between 1998 and 2005, 87 (74%) had CIAs diameters <18 mm and 30 (26%) patients had one or more CIA diameters >18 but <25 mm. All patients were treated with Talent stent-grafts, 114 bifurcated and 3 AUI devices. Departmental databases and patient records were reviewed to assess outcomes. Technical success, iliac-related outcome, and iliac-related reintervention (IRSI) were analyzed. Patients with EVAR extending into the external iliac artery were excluded. Median (range) follow-up for the study group was 24 (1-84) months. Initial technical success was 98% for CIAs <18 mm and 100% for CIAs {>=}18 mm (p = 0.551). There were three distal type I endoleaks (two in the ectatic group) and six iliac limb occlusions (one in an ectatic patient); there were no statistically significant differences between groups (p = 0.4). There were nine IRSIs (three stent-graft extensions, six femorofemoral crossover grafts); three of these patients had one or both CIAs {>=}18 mm (p = 0.232). One-year freedom from IRSI was 92% {+-} 3% and 84% {+-} 9% for the <18-mm and {>=}18-mm CIA groups, respectively (p = 0.232). We conclude that the treatment of AAA by EVAR in patients with CIAs 18-24 mm appears to be safe and effective, however, it may be associated with more frequent reinterventions.

  10. Advancing the Hydrogen Safety Knowledge Base

    SciTech Connect (OSTI)

    Weiner, Steven C.

    2014-12-01

    A White Paper of the International Energy Agency Hydrogen Implementing Agreement Task 31 - Hydrogen Safety

  11. Knowledge Assisted Visualization Knowledge-assisted visualization of seismic data

    E-Print Network [OSTI]

    for knowledge-assisted annotation and computer-assisted interpretation of seismic data for oil and gas, using seismic interpretation, is performed that makes it fit very naturally into the paradigmKnowledge Assisted Visualization Knowledge-assisted visualization of seismic data Daniel Patel a

  12. Velo: Knowledge and Tool

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricN A County road 39NewsDepartmentVelo: Knowledge and

  13. A Computational Model of Knowledge-Intensive Learning and Problem Solving1

    E-Print Network [OSTI]

    Aamodt, Agnar

    1 A Computational Model of Knowledge-Intensive Learning and Problem Solving1 Agnar Aamodt Knowledge. If knowledge-based systems are to become more competent and robust in solving real world problems, they need model - a framework -for knowledge-intensive problem solving and learning from experience. The model has

  14. Robust automated knowledge capture.

    SciTech Connect (OSTI)

    Stevens-Adams, Susan Marie; Abbott, Robert G.; Forsythe, James Chris; Trumbo, Michael Christopher Stefan; Haass, Michael Joseph; Hendrickson, Stacey M. Langfitt

    2011-10-01

    This report summarizes research conducted through the Sandia National Laboratories Robust Automated Knowledge Capture Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding of the influence of individual cognitive attributes on decision making. The project has developed a quantitative model known as RumRunner that has proven effective in predicting the propensity of an individual to shift strategies on the basis of task and experience related parameters. Three separate studies are described which have validated the basic RumRunner model. This work provides a basis for better understanding human decision making in high consequent national security applications, and in particular, the individual characteristics that underlie adaptive thinking.

  15. A Nursery and Greenhouse Online Knowledge Center: Learning Opportunities

    E-Print Network [OSTI]

    Virginia Tech

    A Nursery and Greenhouse Online Knowledge Center: Learning Opportunities for Sustainable Practice and greenhouse operations. This is particularly important because these production facilities are typically and greenhouse industry. A web-based knowledge center provides the most cost-effective mechanism for information

  16. CS322 Fall 1999 Module 7 (Knowledge Representation Issues)

    E-Print Network [OSTI]

    Poole, David

    CS322 Fall 1999 Module 7 (Knowledge Representation Issues) Assignment 7 Solution. The aim. Consider the knowledge base: limit(Id,Year,Limit) 1999,david,cicsr208,120). course(cs322,1998,craig,cicsr208,100). course(cs327,1999,jim,cicsr202,50). (a) Give

  17. WIKIPEDIA AS DOMAIN KNOWLEDGE NETWORKS: Domain Extraction and Statistical Measurement

    E-Print Network [OSTI]

    Liu, Benyuan

    networks on, respectively, mathematics, physics, biology, and chemistry. We compare the mathematics domain, has developed and evolved rapidly into the most comprehensive online encyclopedia. While people enjoy of the target knowledge network with a trusted knowledge source, such as paper-based encyclopedia. Restricted

  18. Revising Knowledge in Multi-Agent System Using Preferences

    E-Print Network [OSTI]

    Pivkina, Inna

    Introduction Multi-Agents Systems (MAS) require coordination mechanisms to facilitate dynamic collaboration way of encoding policies for the integration of agent-generated knowledge (e.g., in a mediator) family of revisions. Each revision represents an updated version of the origi- nal knowledge base

  19. Applying knowledge to reverse engineering problems Robert B. Fisher

    E-Print Network [OSTI]

    Fisher, Bob

    University on applying domain knowledge of standard shapes and relationships to solve or improve reverse engi `knowledge-based' techniques to help overcome these and other problems. The underlying theme behind this set follow standard conventions arising from tradition or utility. We argue that exploiting this extra

  20. SU-E-T-357: Semi-Automated Knowledge-Based Radiation Therapy (KBRT) Planning for Head-And-Neck Cancer (HNC): Can KBRT Plans Achieve Better Results Than Manual Planning?

    SciTech Connect (OSTI)

    Lutzky, C; Grzetic, S; Lo, J; Das, S

    2014-06-01

    Purpose: Knowledge Based Radiation Therapy Treatment (KBRT) planning can be used to semi-automatically generate IMRT plans for new patients using constraints derived from previously manually-planned, geometrically similar patients. We investigate whether KBRT plans can achieve greater dose sparing than manual plans using optimized, organspecific constraint weighting factors. Methods: KBRT planning of HNC radiotherapy cases geometrically matched each new (query) case to one of the 105 clinically approved plans in our database. The dose distribution of the planned match was morphed to fit the querys geometry. Dose-volume constraints extracted from the morphed dose distribution were used to run the IMRT optimization with no user input. In the first version, all constraints were multiplied by a weighting factor of 0.7. The weighting factors were then systematically optimized (in order of OARs with increasing separation from the target) to maximize sparing to each OAR without compromising other OARs. The optimized, second version plans were compared against the first version plans and the clinically approved plans for 45 unilateral/bilateral target cases using the dose metrics: mean, median and maximum (brainstem and cord) doses. Results: Compared to the first version, the second version significantly reduced mean/median contralateral parotid doses (>2Gy) for bilateral cases. Other changes between the two versions were not clinically meaningful. Compared to the original clinical plans, both bilateral and unilateral plans in the second version had lower average dose metrics for 5 of the 6 OARs. Compared to the original plans, the second version achieved dose sparing that was at least as good for all OARs and better for the ipsilateral parotid (bilateral) and oral cavity (bilateral/unilateral). Differences in planning target volume coverage metrics were not clinically significant. Conclusion: HNC-KBRT planning generated IMRT plans with at least equivalent dose sparing to manually generated plans; greater dose sparing was achieved in selected OARs.

  1. A New Model for the Organizational Knowledge Life Cycle

    E-Print Network [OSTI]

    Luigi Lella; Ignazio Licata

    2007-05-08

    Actual organizations, in particular the ones which operate in evolving and distributed environments, need advanced frameworks for the management of the knowledge life cycle. These systems have to be based on the social relations which constitute the pattern of collaboration ties of the organization. We demonstrate here, with the aid of a model taken from the theory of graphs, that it is possible to provide the conditions for an effective knowledge management. A right way could be to involve the actors with the highest betweeness centrality in the generation of discussion groups. This solution allows the externalization of tacit knowledge, the preservation of knowledge and the raise of innovation processes.

  2. A New Model for the Organizational Knowledge Life Cycle

    E-Print Network [OSTI]

    Lella, Luigi

    2010-01-01

    Actual organizations, in particular the ones which operate in evolving and distributed environments, need advanced frameworks for the management of the knowledge life cycle. These systems have to be based on the social relations which constitute the pattern of collaboration ties of the organization. We demonstrate here, with the aid of a model taken from the theory of graphs, that it is possible to provide the conditions for an effective knowledge management. A right way could be to involve the actors with the highest betweeness centrality in the generation of discussion groups. This solution allows the externalization of tacit knowledge, the preservation of knowledge and the raise of innovation processes.

  3. The Knowledge Engineering Review, Vol. 28:3, 249271. & Cambridge University Press, 2013 doi:10.1017/S0269888913000234

    E-Print Network [OSTI]

    Boyer, Edmond

    The Knowledge Engineering Review, Vol. 28:3, 249­271. & Cambridge University Press, 2013 doi:10 include a knowledge base (KB), composed of different kinds of knowledge, and a reasoning engine@lirmm.fr Abstract This paper presents a graph-based knowledge representation and reasoning language. This language

  4. Review: Knowledge and Environmental Policy

    E-Print Network [OSTI]

    Little, Peter C.

    2012-01-01

    and Environmental Policy: Re-Imagining the Boundaries ofand Environmental Policy: Re-Imagining the Boundaries ofKnowledge and Environmental Policy continues the complex and

  5. Maturing Software Engineering Knowledge through Classifications

    E-Print Network [OSTI]

    Basili, Victor R.

    Maturing Software Engineering Knowledge through Classifications: A Case Study on Unit Testing contribution to advancing knowledge in both science and engineering. It is a way of investigating Engineering knowledge, as classifications constitute an organized structure of knowledge items. Till date

  6. ISI Web of Knowledge111 , ,1111

    E-Print Network [OSTI]

    Daniel, Rosenfeld

    ISI Web of Knowledge111 © , ,1111 -ISI Web of Knowledge (http://newisiknowledge.com) , , , . . -ISI Web of Knowledge : Web of Science(-1965) , . Biosis Previews(-1991) , ,, . MEDLINE(-1951) , , . Zoological Record(-1995). , . ISI Web of Knowledge . . -VPN( ). : 1.:http

  7. Foundations of Artificial Intelligence Knowledge Acquisition

    E-Print Network [OSTI]

    Qu, Rong

    knowledge acquisition and knowledge engineering. To explain how knowledge is taken from a human before being against the original statement. Knowledge Acquisition The field of knowledge engineering can be defined Engineering Problem assessment Data and knowledge acquisition Bottleneck Development of a prototype system

  8. The Interactive Knowledge Library: Capturing, Sharing and Synthesizing Tacit Knowledge in Engineering

    E-Print Network [OSTI]

    Eaton, Craig M.

    2006-12-15

    The Interactive Knowledge Library is a place to capture, share and synthesize tacit and explicit knowledge. While explicit knowledge (or ‘know what’) is useful, it is tacit knowledge (or ‘know how’) that is the quintessence of knowledge, from which...

  9. Knowledge Discovery Overview Brian Worley

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    NIGHT DAY #12;ORNL Is Committed to the Knowledge Discovery Agenda · Entire Research Division Focused-aligned with this science agenda NIGHT DAY #12;Knowledge Discovery Challenge: Orchestrating a discovery process across data") VERDE Electric Grid Status (Real-Time Grid Awareness) Reference by URL Contributed content Reputation

  10. IJCAI-99 Workshop ML-5: Automating the Construction of Case-Based Reasoners, Stockholm 1999, S.S. Anand, A. Aamodt, D.W. Aha (eds.). pp 77-82 Learning Retrieval Knowledge from Data

    E-Print Network [OSTI]

    Aamodt, Agnar

    domain knowledge. In this paper we present a way to automate the construction and dynamical refinement approaches to this integration, within the domain of petroleum engineering ­ more specifically oil well drilling - in cooperation with the Norwegian oil company Saga. Some initial results are described

  11. Knowledge Capture and Transfer Program

    Broader source: Energy.gov [DOE]

    The Office of Learning and Workforce Development is working with Heads of Departmental Elements, DOE senior leaders and subject-matter-experts to capture and transfer the knowledge and experiences...

  12. A Knowledge Engineering Method for New Product Development

    E-Print Network [OSTI]

    Perry, Nicolas; 10.3166/jds.19.117-133

    2012-01-01

    Engineering activities involve large groups of people from different domains and disciplines. They often generate important information flows that are difficult to manage. To face these difficulties, a knowledge engineering process is necessary to structure the information and its use. This paper presents a deployment of a knowledge capitalization process based on the enrichment of MOKA methodology to support the integration of Process Planning knowledge in a CAD System. Our goal is to help different actors to work collaboratively by proposing one referential view of the domain, the context and the objectives assuming that it will help them in better decision-making.

  13. Functional Metadata Schema for Engineering Knowledge Management

    E-Print Network [OSTI]

    Mizoguchi, Riichiro

    Functional Metadata Schema for Engineering Knowledge Management Yoshinobu Kitamura Naoya Washio engineering knowledge about functionality representing design rationale because of the lack of rich common, ontology, metadata, functional model, knowledge management 1. INTRODUCTION In the engineering design

  14. Managing Knowledge in a High Tech Company: Knowledge Sharing about Information Systems

    E-Print Network [OSTI]

    Danziger, Jim; Hull, Suzanne M.

    2000-01-01

    Managing Knowledge in a High Tech Company: Knowledge SharingMANAGING KNOWLEDGE IN A HIGH TECH COMPANY: KNOWLEDGE SHARINGend users in a large, high-tech company. There is widespread

  15. Geographic Privacy-aware Knowledge Discovery Fosca Giannotti2, Mirco Nanni2, Dino Pedreschi1, and Chiara Renso2

    E-Print Network [OSTI]

    Malerba, Donato

    , based on new privacy- preserving methods for extracting knowledge from large amounts of raw data ref in the advocated form of geographic knowledge a key driver, such as in transport, environment and risk management and sys- tems for knowledge discovery and delivery, based on new automated privacy-preserving methods

  16. Data Mining and Knowledge Discovery

    E-Print Network [OSTI]

    Novak, Petra Kralj

    Data Mining and Knowledge Discovery Part of Jozef Stefan IPS Programme - ICT3 and UL Programme. Introduction Data Mining in a Nutshell Predictive and descriptive DM techniques Data Mining and KDD process Technologies I. Introduction: First generation data mining Data Mining in a nutshell Predictive

  17. A knowledge portal for Norway

    E-Print Network [OSTI]

    Stølen, Ketil

    A knowledge portal for Norway 2012 Highlights from the University of Oslo's annual report #12 examinations 14 The Governor of the Bank of Norway's Annual Address: 15 A student ombudsman is introduced 15 for Norway, and in addition to its achievements in the form of education and new research, it has a large

  18. The Varieties of Self-Knowledge 

    E-Print Network [OSTI]

    Kabeshkin, Anton Sergeevich

    2012-07-16

    actions I establish that we have a distinctive non-observational kind of self-knowledge and show some specific characteristics of this kind of self-knowledge. In the end I attempt to relate self-knowledge of mental actions to practical knowledge...

  19. Knowledge Engineering Technique for Cluster Development

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Knowledge Engineering Technique for Cluster Development Pradorn Sureephong1 , Nopasit Chakpitak1 management by using knowledge engineering which is one of the most important method for managing knowledge. This work analyzed three well known knowledge engineering methods, i.e. MOKA, SPEDE and Common

  20. Learning from Profession Knowledge: Application on Knitting

    E-Print Network [OSTI]

    Matta, Nada

    2010-01-01

    Knowledge Management is a global process in companies. It includes all the processes that allow capitalization, sharing and evolution of the Knowledge Capital of the firm, generally recognized as a critical resource of the organization. Several approaches have been defined to capitalize knowledge but few of them study how to learn from this knowledge. We present in this paper an approach that helps to enhance learning from profession knowledge in an organisation. We apply our approach on knitting industry.

  1. Determining root causes of drilling problems by combining cases and general knowledge

    E-Print Network [OSTI]

    Aamodt, Agnar

    -based, knowledge intensive, oil well drilling 1 Introduction Drilling of oil wells is an expensive offshore based reasoning to improve efficiency of oil well drilling. Their focus was on lost circulation, whichDetermining root causes of drilling problems by combining cases and general knowledge Samad

  2. A model of dynamic rewiring and knowledge exchange in R&D networks

    E-Print Network [OSTI]

    Tomasello, Mario Vincenzo; Schweitzer, Frank

    2015-01-01

    This paper investigates the process of knowledge exchange in inter-firm Research and Development (R&D) alliances by means of an agent-based model. Extant research has pointed out that firms select alliance partners considering both network-related and network-unrelated features (e.g. social capital versus complementary knowledge stocks). In our agent-based model, firms are located in a metric knowledge space. The interaction rules incorporate an exploration phase and a knowledge transfer phase, during which firms search for a new partner and then evaluate whether they can establish a profitable alliance to mutually exchange their knowledge stocks. The model parameters determining the overall system properties are the rate at which alliances form and disappear and the agents' interaction radius. Next, we define a novel indicator of performance, based on the distance traveled by the firms in the knowledge space. Remarkably, we find that - depending on the alliance formation rate and the interaction radius -...

  3. A Knowledge-Theoretic Approach to Distributed Problem Solving

    E-Print Network [OSTI]

    Woolridge, Mike

    A Knowledge-Theoretic Approach to Distributed Problem Solving Michael Wooldridge Department.J.Wooldridge@qmw.ac.uk Abstract. Traditional approaches to distributed problem solving have treated the problem as one of distributed search. In this paper, we propose an alternative, logic-based view of distributed problem solv

  4. A KnowledgeTheoretic Approach to Distributed Problem Solving

    E-Print Network [OSTI]

    Woolridge, Mike

    A Knowledge­Theoretic Approach to Distributed Problem Solving Michael Wooldridge Department.J.Wooldridge@qmw.ac.uk Abstract. Traditional approaches to distributed problem solving have treated the problem as one of distributed search. In this paper, we propose an alternative, logic­based view of distributed problem solv

  5. Equivalence in Knowledge Representation: Automata, Recurrent Neural Networks,

    E-Print Network [OSTI]

    Giles, C. Lee

    Equivalence in Knowledge Representation: Automata, Recurrent Neural Networks, and Dynamical Fuzzy finite state automata (DFA) can be synthesized by or mapped into recurrent neural networks by directly programming the DFA structure into the weights of the neural network. Based on those results, a synthesis

  6. ARKTOS: a knowledge engineering software tool for images

    E-Print Network [OSTI]

    Soh, L. K.; Tsatsoulis, Costas

    2002-12-01

    sides are able to efficiently assess the correctness of the system. To facilitate the knowledge engineering of the second stage, we have designed and built three Java-based graphical user interfaces: arktosGUI, arktosViewer and arktosEditor. arktos...

  7. A Data and Knowledge Management System for Intelligent Buildings 

    E-Print Network [OSTI]

    Hong, J.; Chen, Z.; Li, H.; Xu, Q.

    2006-01-01

    into three main stages: design, construction, and utilization. The concept is then developed to an integrated model for web-based information supply and sharing, and some key points of the construction of an information platform and a knowledge system portal...

  8. A Delphi algorithm that integrates knowledge for expert system development 

    E-Print Network [OSTI]

    Layton, Terre Lou

    1989-01-01

    . The Delphi Manager was validated by using an existing knowledge base (KB) that was compiled by a paper and pencil version of the Delphi Technique. This existing KB was part of a dissertation by Randall F. Scott entitled "A Computer Programmer Productivity...

  9. Preservice teachers' knowledge of linear functions within multiple representation modes 

    E-Print Network [OSTI]

    You, Zhixia

    2009-05-15

    This study examines preservice teachers’ knowledge in the case of linear functions. Teachers’ knowledge in general consists of their subject matter knowledge and their pedagogical content knowledge. In this study, teachers’ subject matter knowledge...

  10. Building Reconstruction from ALS: Integrating Shape knowledge

    E-Print Network [OSTI]

    Building Reconstruction from ALS: Integrating Shape knowledge and Manual Operation Biao Xiong George Vosselman #12;Introduction Primitive Buildings Constraint Least Square Fit Manual Operation Future work 2 #12;Introduction Primitive Buildings Building Knowledge Constraint Least Square Fit Manual

  11. A precise computational approach to knowledge

    E-Print Network [OSTI]

    Pass, Rafael (Rafael Nat Josef)

    2006-01-01

    The seminal work of Goldwasser, Micali and Rackoff put forward a computational approach to knowledge in interactive systems, providing the foundation of modern Cryptography. Their notion bounds the knowledge of a player ...

  12. Academic Knowledge Transfer in Social Networks

    E-Print Network [OSTI]

    Slater, Mark David

    2013-01-01

    4.3 Digital Library Requirements . . . . . . . . . . . 4.43.1.1 Digital Libraries . . . . . . . . . . . .A Prototype Personal Digital Library Knowledge Transfer

  13. MASTER OF TECHNOLOGY IN KNOWLEDGE ENGINEERING

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

    MASTER OF TECHNOLOGY IN KNOWLEDGE ENGINEERING Become a Leader & INNOVATORin INTELLIGENT SYSTEMS treatment options. The Master of Technology in Knowledge Engineering will equip you with the skills) in Knowledge Engineering (KE) draws on the rich resources of the Institute of Systems Science (ISS

  14. D and D Knowledge Management Information Tool - 2012 - 12106

    SciTech Connect (OSTI)

    Upadhyay, H.; Lagos, L.; Quintero, W.; Shoffner, P.; DeGregory, J.

    2012-07-01

    Deactivation and decommissioning (D and D) work is a high priority activity across the Department of Energy (DOE) complex. Subject matter specialists (SMS) associated with the different ALARA (As-Low-As-Reasonably-Achievable) Centers, DOE sites, Energy Facility Contractors Group (EFCOG) and the D and D community have gained extensive knowledge and experience over the years in the cleanup of the legacy waste from the Manhattan Project. To prevent the D and D knowledge and expertise from being lost over time from the evolving and aging workforce, DOE and the Applied Research Center (ARC) at Florida International University (FIU) proposed to capture and maintain this valuable information in a universally available and easily usable system. D and D KM-IT provides single point access to all D and D related activities through its knowledge base. It is a community driven system. D and D KM-IT makes D and D knowledge available to the people who need it at the time they need it and in a readily usable format. It uses the World Wide Web as the primary source for content in addition to information collected from subject matter specialists and the D and D community. It brings information in real time through web based custom search processes and its dynamic knowledge repository. Future developments include developing a document library, providing D and D information access on mobile devices for the Technology module and Hotline, and coordinating multiple subject matter specialists to support the Hotline. The goal is to deploy a high-end sophisticated and secured system to serve as a single large knowledge base for all the D and D activities. The system consolidates a large amount of information available on the web and presents it to users in the simplest way possible. (authors)

  15. 838 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 9, NO. 6, NOVEMBER/DECEMBER 1997 QUEM: An Achievement Test

    E-Print Network [OSTI]

    Parzen, Michael

    838 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 9, NO. 6, NOVEMBER/DECEMBER 1997 QUEM, performance measures, knowledge engineering, solution quality. -------------------- 3 -------------------- 1: An Achievement Test for Knowledge-Based Systems Caroline C. Hayes, Member, IEEE, and Michael I. Parzen Abstract

  16. Boundary spanning, knowledge dynamics and emerging innovation systems early lessons from nanotechnology

    E-Print Network [OSTI]

    nanotechnology DIME Workshop "Industrial innovation dynamics and knowledge characteristics, exploring systems. Using nanotechnology as a case the paper focuses on analysing boundary spanning effects to capture possible changes in the knowledge base and search modes related to the rise of nanotechnology

  17. IMPACTS OF OIL AND NATURAL GAS ON PRAIRIE GROUSE: CURRENT KNOWLEDGE AND RESEARCH NEEDS1

    E-Print Network [OSTI]

    Beck, Jeffrey L.

    IMPACTS OF OIL AND NATURAL GAS ON PRAIRIE GROUSE: CURRENT KNOWLEDGE AND RESEARCH NEEDS1 Jeffrey L current knowledge on the effects of oil and gas development and production on prairie grouse based to impacts from oil and gas development or (ii) correlative studies evaluating cause and effect relationships

  18. Rules for Knowledge Representation Rule-based knowledge representation is useful for specifying inference

    E-Print Network [OSTI]

    Hamburg,.Universität

    of market situations: · global-market collaps, shrinking, stagnation, growth, explosion · product-segment-samples - door-to-door-sales #12;3 5 Example of a Decision Rule IF global-market = collaps AND product-segment

  19. Data structures and apparatuses for representing knowledge

    DOE Patents [OSTI]

    Hohimer, Ryan E; Thomson, Judi R; Harvey, William J; Paulson, Patrick R; Whiting, Mark A; Tratz, Stephen C; Chappell, Alan R; Butner, Robert S

    2014-02-18

    Data structures and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.

  20. A Pervasive Computing Solution to Asset, Problem and Knowledge Management Suman K. Kalia, Charles C. Tappert, Allen Stix, and Fred Grossman

    E-Print Network [OSTI]

    Tappert, Charles

    A Pervasive Computing Solution to Asset, Problem and Knowledge Management Suman K. Kalia, Charles C the conceptualization, design, and construction of wireless laptop and PDA-based asset, problem and knowledge management Operating System PDA based asset, problem and knowledge management systems to assist a divisional desktop

  1. In Tecuci G. and Kodratoff Y. (eds), Machine Learning and Knowledge Acquisition: Integrated Approaches, pp. 13-50, Academic Press, 1995

    E-Print Network [OSTI]

    Tecuci, Gheorghe

    presents a new approach to the process of building a knowledge-based system which relies on a tutoring. Introduction Automating the process of building knowledge bases has long been the goal of both Knowledge that are extremely difficult for one may be easy for the other. For instance, automated learning systems have

  2. M.S. ABDULLAH, I. BENEST, A. EVANS, and C. KIMBLE, Knowledge Modelling Techniques For Developing Knowledge Management Systems, 3rd European Conference on

    E-Print Network [OSTI]

    Kimble, Chris

    modelling, knowledge management, knowledge management system, knowledge, knowledge engineering. 1M.S. ABDULLAH, I. BENEST, A. EVANS, and C. KIMBLE, Knowledge Modelling Techniques For Developing Knowledge Management Systems, 3rd European Conference on Knowledge Management, Dublin, Ireland, September

  3. Managing Knowledge Workers in Global Value Chains

    E-Print Network [OSTI]

    Brown, Clair; Linden, Greg

    2010-01-01

    Strategic Alliances. ” Strategic Management Journal, v.12,Overseas Knowledge. ” Strategic Management Journal, 22(4):Performance. ” Strategic Management Journal, 28(13): 1319–

  4. Central Characterization Program (CCP), Acceptable Knowledge...

    Office of Environmental Management (EM)

    for Los Alamos National Laboratory, TA-55 Mixed Transuranic Waste Streams Central Characterization Program (CCP), Acceptable Knowledge Summary Report for Los Alamos National...

  5. Hydrothermal Exploration Best Practices and Geothermal Knowledge...

    Open Energy Info (EERE)

    Knowledge Exchange on Openei Abstract Though exploring for hydrothermal resources is not new, advances in exploration technologies and the pursuit of less visible resources have...

  6. Bioenergy Knowledge Discovery Framework Recognized at National...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    50 papers with wide-ranging topics in the field of geospatial information systems. The paper explains how the Bioenergy Knowledge Discovery Framework (KDF) is bringing together...

  7. ORIGINAL PAPER The interdisciplinary engineering knowledge genome

    E-Print Network [OSTI]

    Shai, Offer

    mastered all necessary knowledge to start and complete projects. Since the industrial revolution empirical discipline. The second industrial revolution saw the emergence of chemical and electrical

  8. Learning Energy Demand Domain Knowledge via Feature Transformation

    E-Print Network [OSTI]

    Povinelli, Richard J.

    -- Domain knowledge is an essential factor for forecasting energy demand. This paper introduces a method knowledge substantially improves energy demand forecasting accuracy. However, domain knowledge may differ. The first stage automatically captures energy demand forecasting domain knowledge through nonlinear

  9. Reshaping rural development through knowledge clusters : the case of Danville and Southside, Virginia

    E-Print Network [OSTI]

    Pierson, Andrew Stuart (Andrew Drew Stuart)

    2013-01-01

    This thesis examines challenges and implications associated with implementing knowledge-based economic development strategies in rural regions, focusing on the City of Danville in Southside Virginia. In 2000, Danville ...

  10. The impact of an environmental education program on third graders' knowledge, attitudes and behavioral intentions 

    E-Print Network [OSTI]

    Vadala, Carin Elizabeth

    2004-09-30

    The purpose of this study was to measure whether an after-school environmental education program based on modified Project Wild materials, positively impacted third graders environmental knowledge, attitudes and behavioral intentions. Eight lesson...

  11. Socio-cognitive analysis of engineering systems design : shared knowledge, process, and product

    E-Print Network [OSTI]

    Avnet, Mark Sean

    2009-01-01

    This research is based on the well-known but seldom stated premise that the design of complex engineered systems is done by people -- each with their own knowledge, thoughts, and views about the system being designed. To ...

  12. Communicating Knowledge: A Case Study for Improving Technician Productivity in the Telecom Industry

    E-Print Network [OSTI]

    Santos, Sonia M.

    2008-05-16

    Organizational success is based on productivity. Productivity at the Mountainside Moonpies Corporation is currently in decline due to the swift advancement of telecommunication technology, an aging workforce, and minimal investment in knowledge...

  13. A knowledge of the potential

    E-Print Network [OSTI]

    Sali, Andrej

    is as important for understanding protein folding as is the potential surface for the H H2 reaction. estimated to protein folding, in which thousands of atoms take part. The under- standing of a reaction is based of experimental developments and theoretical advances.[1] By contrast, protein folding is so complex that even

  14. Knowledge Framework Implementation with Multiple Architectures - 13090

    SciTech Connect (OSTI)

    Upadhyay, H.; Lagos, L.; Quintero, W.; Shoffner, P.; DeGregory, J.

    2013-07-01

    Multiple kinds of knowledge management systems are operational in public and private enterprises, large and small organizations with a variety of business models that make the design, implementation and operation of integrated knowledge systems very difficult. In recent days, there has been a sweeping advancement in the information technology area, leading to the development of sophisticated frameworks and architectures. These platforms need to be used for the development of integrated knowledge management systems which provides a common platform for sharing knowledge across the enterprise, thereby reducing the operational inefficiencies and delivering cost savings. This paper discusses the knowledge framework and architecture that can be used for the system development and its application to real life need of nuclear industry. A case study of deactivation and decommissioning (D and D) is discussed with the Knowledge Management Information Tool platform and framework. D and D work is a high priority activity across the Department of Energy (DOE) complex. Subject matter specialists (SMS) associated with DOE sites, the Energy Facility Contractors Group (EFCOG) and the D and D community have gained extensive knowledge and experience over the years in the cleanup of the legacy waste from the Manhattan Project. To prevent the D and D knowledge and expertise from being lost over time from the evolving and aging workforce, DOE and the Applied Research Center (ARC) at Florida International University (FIU) proposed to capture and maintain this valuable information in a universally available and easily usable system. (authors)

  15. Bioenergy Knowledge Discovery Framework (KDF) Fact Sheet

    SciTech Connect (OSTI)

    2013-07-29

    The Bioenergy Knowledge Discovery Framework (KDF) is an online collaboration and geospatial analysis tool that allows researchers, policymakers, and investors to explore and engage the latest bioenergy research. This publication describes how the KDF harnesses Web 2.0 and social networking technologies to build a collective knowledge system that facilitates collaborative production, integration, and analysis of bioenergy-related information.

  16. Scientific Knowledge 1. What is the Problem?

    E-Print Network [OSTI]

    Giere, Ronald N.

    Chapter 1 Scientific Knowledge 1. What is the Problem? Since the end of World War II, the influence scientific knowledge.1 In spite of the undeniable successes of post World War II science, there have always-scientists. After World War II, widespread serious questions about the nature of scientific #12;Giere. Scientific

  17. Knowledge representation in process engineering Ulrike Sattler

    E-Print Network [OSTI]

    Baader, Franz

    Knowledge representation in process engineering Ulrike Sattler RWTH Aachen, uli, the tasks we are concerned with in process engineering are described as well as how knowledge representation@cantor.informatik.rwth­aachen.de Abstract Process engineering is surely no pure con­ figuration application, but modeling the structure

  18. The Life Sciences and Knowledge for a

    E-Print Network [OSTI]

    and environmental monitoring and assessment 2009­2012 #12;1SLU's strategy for research, education and environmental and Knowledge for a Sustainable Future #12;3SLU's strategy for research, education and environmental monitoring, education and environmental monitoring and assessment The Life Sciences and Knowledge for a Sustainable

  19. Research Challenges in Ubiquitous Knowledge Discovery

    E-Print Network [OSTI]

    Malerba, Donato

    .0 to ubiquitous computing and robotics, aim to create systems which are "smart", "intelligent" , "adap- tive" etcChapter 2 Research Challenges in Ubiquitous Knowledge Discovery Michael May, Bettina Berendt, Sabanci Uni- versity, Technion, University of Hasselt 2.1 Ubiquitous Knowledge Discovery

  20. Complete Knowledge Assumption Often you want to assume that your knowledge is complete.

    E-Print Network [OSTI]

    Valtorta, Marco

    Complete Knowledge Assumption Often you want to assume that your knowledge is complete. Example: assume that a database of what students are enrolled in a course is complete. The definite clause language is monotonic: adding clauses can't invalidate a previous conclusion. Under the complete knowledge

  1. Hypertext as a debugging tool for knowledge-based systems 

    E-Print Network [OSTI]

    Schuette, John Frederick

    1990-01-01

    . An AIN 14. An example ALN. 38 39 15. Agenda and rule interconnections. 16. Fact and rule interconnections. . . 41 42 17. Outline of network generation. . 18. Graph of mean task completion times. 19. Graph of mean idle times. 20. Ratio of mental...'s processing, or consultation, is called the recognize-act cycle. For each cycle, it builds an agenda of eligible rule instances that could fire in the current cycle. The agenda is called the conflict set in some systems. The pseudocode for a general...

  2. A KNOWLEDGE-BASED APPROACH TO PROTEIN LOCAL STRUCTURE PREDICTION*

    E-Print Network [OSTI]

    Wong, Limsoon

    prediction method that assigns a measure called the local match rate to each position of an amino acid its amino acid sequence. Local structure prediction helps improve the per- formance of both profile@iis.sinica.edu.tw 1 #12;structures, predicting protein local structures from amino acid sequences is much more

  3. The Dynamics of Collaboration in Knowledge-Based Work Processes

    E-Print Network [OSTI]

    Rahmani, Morvarid

    2013-01-01

    and c d /c vs is small; and TM contracts primarily lead toTM contracts when R(x) is large, ? is small, p d /p s issmall and vice versa. To validate these contractual prescriptions, we compare the performance of the three contracts

  4. An Argument for Knowledge Variety in Evidence-Based Management

    E-Print Network [OSTI]

    Martelli, Peter Fabrizio

    2012-01-01

    manufacturing firms. ” Strategic Management Journal 27(2):View of the Firm. ” Strategic Management Journal 18(Summer):innovativeness. ” Strategic Management Journal 25(6): 541-

  5. New vistas for knowledge-based information support

    E-Print Network [OSTI]

    Soergel, Dagobert

    College of Library and Information Services University of Maryland Office: (301) 405-2037 Fax (301) 314 Classification of business functions Intelligent document templates #12;3 Classification of business functions functions are needed to support it What other functions dose it support Who is responsible for this business

  6. http://www.isr.uci.edu/ Knowledge-based Architectural

    E-Print Network [OSTI]

    Georgas, John

    autonomously change in response to dynamic conditions: Behavior, property, environment, etc. Architecture sensor nodes. Connector (C1) Battery Monitor (M) Monitors battery levels and emits notifications. Data: Sensor Network Re-Transmission Data Receiver (R) Receives data from sensor nodes. Connector (C1) Battery

  7. Improving Design Optimization and Optimization-based Design Knowledge Discovery 

    E-Print Network [OSTI]

    Su, Zhouzhou

    2015-08-11

    ). .............................................................................................. 78 4.14 Results of Multi-Objective Optimization with Offline Simulation in Rhino/Grasshopper (Left and Right) and Octopus (Middle). .................... 80 4.15 Results of Multi-Objective Optimization with Offline Simulation... and D&C in Rhino/Grasshopper (Left) and Octopus (Right). .......................... 81 5.1 Comparison Between MIC and Other Methods ......................................... 90 5.2 The MIC Results of a Linear Relationship...

  8. Active and Knowledge-based Process Safety Incident Retrieval System 

    E-Print Network [OSTI]

    Khan, Sara Shammni

    2011-10-21

    information using folder search as well as word search option via a user friendly interface. A program coded in JAVA is prepared for integrating the incident database with a Management of Change (MOC) software prototype. A collection of keywords... for the users to retrieve incident was developed using JAVA. Besides folder search, the users are provided with the option of word search to retrieve incident information. Folder searching along with word searching will help narrow down the users? scope...

  9. Amoeba-Based Knowledge Discovery System Toshinori Munakata

    E-Print Network [OSTI]

    Munakata, Toshinori

    slime mold Physarum Polycephalum (Fig. 1a), a unicellular amoeboid organism with a single gel layer computer whose elements are microscopic actomyosins (fibrous proteins) taking contracting or relaxing states. Collectively interacting actomyosins in the gel layer generate rhythmic contraction

  10. Modal Semantics for Knowledge Bases Dealing with Vague Concepts

    E-Print Network [OSTI]

    Bennett, Brandon

    ' and `The best man's speech was a complete disaster'.) Often the use of a seemingly simple concept may is green' the word `green' is vague not only in that there may be borderline cases of green (a yellowy green or a dark browny green) but also because the frog may have a yellow belly, black eyes and a pink

  11. Knowledge based expert systems for engineering: Classification, education and control

    SciTech Connect (OSTI)

    Sriram, D.; Adey, R.A.

    1987-01-01

    Applications in the book cover all branches of engineering including manufacturing, electrical and electronic systems, industrial automation, and civil engineering. Particular applications include gearbox selection, maintenance advisers, helicopter engine troubleshooting, power system control, network management, intelligent tutors, finite element advisers, diagnosis of mechanical failure, welding advisers, plant operation, structural optimisation and fault diagnosis.

  12. An object-oriented, knowledge-based aircraft approach controller 

    E-Print Network [OSTI]

    Lass, Steven Lee

    1995-01-01

    The research for the thesis was performed by Steven Lee Lass in pursuit of a Master of Science degree in Electrical Engineering. The objective of this research was to develop an approach system for an aircraft using fuzzy ...

  13. Knowledge-Based Evolutionary Linkage in MEMS Design Synthesis

    E-Print Network [OSTI]

    Cobb, Corie L.; Zhang, Ying; Agogino, Alice M.; Mangold, Jennifer

    2008-01-01

    sium of Micro- and Nano-Mechatronics for Information-basedgenetic programming in mechatronics systems design using

  14. Automatic Gloss Finding for a Knowledge Base using Ontological Constraints

    E-Print Network [OSTI]

    Cohen, William W.

    Runner [45], and PROSPERA [32], are all targeted at extracting general facts at Web scale. While facts

  15. Automatic Gloss Finding for a Knowledge Base using Ontological Constraints

    E-Print Network [OSTI]

    Murphy, Robert F.

    ) [7], TextRunner [45], and PROSPERA [33] are targeted at extracting facts at Web scale. While facts

  16. Automatic Gloss Finding for a Knowledge Base using Ontological Constraints

    E-Print Network [OSTI]

    Murphy, Robert F.

    -Language-Learning (NELL) [7], TextRunner [45], and PROSPERA [33] are targeted at extracting facts at Web scale. While

  17. WEB-BASED RESOURCES ENHANCE HYDROGEN SAFETY KNOWLEDGE

    SciTech Connect (OSTI)

    Weiner, Steven C.; Fassbender, Linda L.; Blake, Chad; Aceves, Salvador; Somerday, Brian P.; Ruiz, Antonio

    2013-06-18

    The U.S. Department of Energy’s Fuel Cell Technologies Program addresses key technical challenges and institutional barriers facing the development and deployment of hydrogen and fuel cell technologies with the goal of decreasing dependence on oil, reducing carbon emissions and enabling reliable power generation. The Safety, Codes & Standards program area seeks to develop and implement the practices and procedures that will ensure safety in the operation, handling and use of hydrogen and hydrogen systems for all projects and utilize these practices and lessons learned to promote the safe use of hydrogen. Enabling the development of codes and standards for the safe use of hydrogen in energy applications and facilitating the development and harmonization of international codes and standards are integral to this work.

  18. Knowledge-Based Evolutionary Linkage in MEMS Design Synthesis

    E-Print Network [OSTI]

    Cobb, Corie L.; Zhang, Ying; Agogino, Alice M.; Mangold, Jennifer

    2008-01-01

    Introduction Microelectromechanical Systems (MEMS) are smallindustries for microelectromechanical sys- tems (MEMS). In:

  19. A framework for knowledge-based team training 

    E-Print Network [OSTI]

    Miller, Michael Scott

    2009-06-02

    Teamwork is crucial to many disciplines, from activities such as organized sports to economic and military organizations. Team training is difficult and as yet there are few automated tools to assist in the training task. As with the training...

  20. Introducing knowledge into learning based on genetic programming

    E-Print Network [OSTI]

    Fernandez, Thomas

    typing, symbolic regression, units of measurement INTRODUCTION Automatic Programming is one of the most process. Key words | empirical equations, genetic programming, hydraulics, sediment transport, strong is the design of measurement cam- paigns and the collection of data. We usually measure forcing variables (those

  1. Knowledge-based stratigraphic well-log correlation 

    E-Print Network [OSTI]

    Denton, Michael A.

    1990-01-01

    correlated higher ranking strata. Thus, higher ranking correlations provide heuristics for lower ranking correlations. The system represents strata by symbols from a set of standard symbols which include peaks, troughs, and steps. Symbols replace events.... The zone attributes abstracted from the well-log include the following: interval, lithology ? classified as shale or non-shale, zone position, general zone shape, thickness, average amplitude, zone above name, and zone below name. Thus, the expert system...

  2. An infrastructure mechanism for dynamic ontology-based knowledge infrastructures 

    E-Print Network [OSTI]

    Zurawski, Maciej

    2010-01-01

    mechanism that processes ontology change proposals from autonomous entities while maintaining user-defined consistency between the ontologies of these entities. This makes so called semantic autonomy possible. A core invention of our approach is to formalise...

  3. Knowledge-Based Evolutionary Linkage in MEMS Design Synthesis

    E-Print Network [OSTI]

    Cobb, Corie L.; Zhang, Ying; Agogino, Alice M.; Mangold, Jennifer

    2008-01-01

    and industries for microelectromechanical sys- tems (MEMS).1 Introduction Microelectromechanical Systems (MEMS) are

  4. Knowledge-Based Evolutionary Linkage in MEMS Design Synthesis

    E-Print Network [OSTI]

    Cobb, Corie L.; Zhang, Ying; Agogino, Alice M.; Mangold, Jennifer

    2008-01-01

    interaction in evolving MEMS designs: microresonator caseof evolu- tionary MEMS resonators. In: Proc. of the IEEESéquin, C.H. : Hierarchical MEMS synthesis and optimization.

  5. Improving Performance of Web Services Query Matchmaking with Automated Knowledge Acquisition

    E-Print Network [OSTI]

    Meng, Weiyi

    Improving Performance of Web Services Query Matchmaking with Automated Knowledge Acquisition that abstract away the fundamental complexity of XML-based Web services specifications and toolkits, and provide an elegant, intuitive, simple, and powerful query-based invocation system to end users. Web services based

  6. Offshore Energy Knowledge Exchange Workshop Report

    SciTech Connect (OSTI)

    none,

    2012-04-12

    A report detailing the presentations and topics discussed at the Offshore Energy Knowledge Exchange Workshop, an event designed to bring together offshore energy industry representatives to share information, best practices, and lessons learned.

  7. Exploiting thesauri knowledge in medical guideline formalization

    E-Print Network [OSTI]

    ten Teije, Annette

    investigates whether medical knowledge acquired from several medical thesauri can be molded on a guideline program, under contract number IST-FP6- 508794 Protocure-II: www.protocure.org 2 Address: De Boelelaan

  8. Speech production knowledge in automatic speech recognition 

    E-Print Network [OSTI]

    King, Simon; Frankel, Joe; Livescu, Karen; McDermott, Erik; Richmond, Korin; Wester, Mirjam

    2007-01-01

    Although much is known about how speech is produced, and research into speech production has resulted in measured articulatory data, feature systems of different kinds and numerous models, speech production knowledge is ...

  9. Explicit Evidence Systems with Common Knowledge

    E-Print Network [OSTI]

    Sola, Rolf Haenni

    Explicit Evidence Systems with Common Knowledge Samuel Bucheli, Roman Kuznets, and Thomas Studer Institut f¨ur Informatik und angewandte Mathematik, Universit¨at Bern Bern, Switzerland { bucheli, kuznets

  10. Data Mining and Knowledge Discovery: Practice Notes

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery: Practice Notes Petra Kralj Novak Petra.Kralj.Novak@ijs.si and exam · 2013/1/15: Written exam, seminar proposal discussion · 2013/2/12: Data mining seminar

  11. Data Mining and Knowledge Discovery: Practice Notes

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery: Practice Notes Petra Kralj Novak Petra.Kralj.Novak@ijs.si on Weka 3: Descriptive data mining ­ Discussion about seminars and exam · 2013/12/16: Written exam

  12. QUASIINDEXICALS AND KNOWLEDGE REPORTS William J. Rapaport

    E-Print Network [OSTI]

    Krovi, Venkat

    . Our analysis solves a problem first observed by Hector­Neri Casta~neda, namely, that the simple rule se belief and knowledge reports. Our analysis solves a problem first observed by Hector­Neri Casta~neda

  13. DesignMinders: Preserving and Sharing Informal Software Design Knowledge

    E-Print Network [OSTI]

    van der Hoek, André

    DesignMinders: Preserving and Sharing Informal Software Design Knowledge Gerald Bortis and André knowledge. For example, knowledge management systems that allow developers to populate and search, andre}@ics.uci.edu Abstract. Software design is a knowledge-intensive activity. Knowledge is both

  14. An Ontological Schema for Sharing Conceptual Engineering Knowledge

    E-Print Network [OSTI]

    Mizoguchi, Riichiro

    An Ontological Schema for Sharing Conceptual Engineering Knowledge Yoshinobu Kitamura and Riichiro have been suffering the difficulty in sharing conceptual engineering knowledge about functionality. Introduction In the engineering design community, the importance of knowledge sharing among designers has been

  15. Knowledge-to-Action Guides: Preparing Families to Be Partners in Making Educational Decisions

    E-Print Network [OSTI]

    Turnbull, Ann P.; Zuna, Nina; Hong, Joo Young; Hu, Xiaoyi; Kyzar, Kathleen; Obremski, Shea; Summers, Jean Ann; Turnbull, H. Rutherford; Stowe, Matthew J.

    2010-01-01

    parents become experts in special education, and help make good decisions about their children's education programs? Knowledge to action (KTA) guides are one resource, providing families access to top tier knowledge on evidence- based practice... Coordination Providing Emotional Snppoil to Families Through Parent to Parent Programs Video in English and Spajiish Parent quotes/action steps from Community of Practice 4 family stories 4 stale education department family- friendly guides 3 family stories...

  16. Capturing and Using Knowledge about the Use of Visualization Toolkits

    SciTech Connect (OSTI)

    Del Rio, Nicholas R.; Pinheiro da Silva, Paulo

    2012-11-02

    When constructing visualization pipelines using toolkits such as Visualization Toolkit (VTK) and Generic Mapping Tools (GMT), developers must understand (1) what toolkit operators will transform their data from its raw state to some required view state and (2) what viewers are available to present the generated view. Traditionally, developers learn about how to construct visualization pipelines by reading documentation and inspecting code examples, which can be costly in terms of the time and effort expended. Once an initial pipeline is constructed, developers may still have to undergo a trial and error process before a satisfactory visualization is generated. This paper presents the Visualization Knowledge Project (VisKo) that is built on a knowledge base of visualization toolkit operators and how they can be piped together to form visualization pipelines. Developers may now rely on VisKo to guide them when constructing visualization pipelines and in some cases, when VisKo has complete knowledge about some set of operators (i.e., sequencing and parameter settings), automatically generate a fully functional visualization pipeline.

  17. The Path to Transforming Knowledge into Energy Projects: DOE...

    Office of Environmental Management (EM)

    The Path to Transforming Knowledge into Energy Projects: DOE Tribal Renewable Energy Webinar Series 2015 The Path to Transforming Knowledge into Energy Projects: DOE Tribal...

  18. Organizing Migrations: People and Knowledge Flows in the Global Economy

    E-Print Network [OSTI]

    Norlander, Peter D.

    2014-01-01

    politics and economics of offshore outsourc- ing,” JournalCarol, “Controlling offshore knowledge workers: Power andof advanced industries offshore by spreading knowledge and

  19. Knowledge Partnership for Measuring Air Pollution and Greenhouse...

    Open Energy Info (EERE)

    Knowledge Partnership for Measuring Air Pollution and Greenhouse Gas Emissions in Asia Jump to: navigation, search Name Knowledge Partnership for Measuring Air Pollution and...

  20. The Digital Road to Scientific Knowledge Diffusion; A Faster...

    Office of Scientific and Technical Information (OSTI)

    of knowledge. In particular, it is important to understand whether advances in Internet searching can speed up the diffusion of scientific knowledge and accelerate...

  1. 2009 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (IEEE NLP-KE'09) CASSIOPEIA

    E-Print Network [OSTI]

    Branco, António Horta

    of a model called Cassiopeia, whose aim is to allow for knowledge discovery in textual bases in distinct and domains. The Cassiopeia model uses the process of clusterization to obtain this knowledge, thereby dimensionality. In order to circumvent this, the Cassiopeia model uses the summarization process to reduce

  2. Category 1: Epistemology (EPIST) Scientific knowledge is the most objective form of knowledge.

    E-Print Network [OSTI]

    Cobern, William W.

    ) Science helps develop our natural resources such as coal, gas, oil, and solar energy. Scientific knowledge today because of scientific knowledge. The development of our natural resources, such as coal, gas, oil natural environment and natural resources. Without science we will not be able to preserve our natural

  3. Separating the Knowledge Layers: Cognitive Analysis of Search Knowledge Through Hierarchical Goal Decompositions

    E-Print Network [OSTI]

    Bhavnani, Suresh K.

    of library and information science (LIS) should equally benefit by the use of analysis methods that require1 Separating the Knowledge Layers: Cognitive Analysis of Search Knowledge Through Hierarchical Goal. This analysis method progressively decomposes a given task starting from the task layer on the top

  4. A knowledge continuity management program for the energy, infrastructure and knowledge systems center, Sandia National Laboratories.

    SciTech Connect (OSTI)

    Menicucci, David F.

    2006-07-01

    A growing recognition exists in companies worldwide that, when employees leave, they take with them valuable knowledge that is difficult and expensive to recreate. The concern is now particularly acute as the large ''baby boomer'' generation is reaching retirement age. A new field of science, Knowledge Continuity Management (KCM), is designed to capture and catalog the acquired knowledge and wisdom from experience of these employees before they leave. The KCM concept is in the final stages of being adopted by the Energy, Infrastructure, and Knowledge Systems Center and a program is being applied that should produce significant annual cost savings. This report discusses how the Center can use KCM to mitigate knowledge loss from employee departures, including a concise description of a proposed plan tailored to the Center's specific needs and resources.

  5. Random Matrix Based Uncertainty Model for Complex Robotic Systems Javad Sovizi1, Aliakbar Alamdari2, Sonjoy Das3 and Venkat Krovi4

    E-Print Network [OSTI]

    Krovi, Venkat

    that are caused by lack of the system knowledge (and can be suppressed by increasing the state of the knowledge random variable based (RV-based) schemes require a detailed knowledge of the system parameters variation

  6. Formalizing Information Security Knowledge Stefan Fenz

    E-Print Network [OSTI]

    Formalizing Information Security Knowledge Stefan Fenz Vienna University of Technology Vienna ontology which provides an on- tological structure for information security domain knowl- edge. Besides of the considered organization is incorporated. An evaluation conducted by an information security expert team has

  7. Concise Papers__________________________________________________________________________________________ Using Hybrid Knowledge Engineering and

    E-Print Network [OSTI]

    Liu, Yonghuai

    with digital image processing methods. The knowledge related to the mural colors is first categorized into four processing. æ 1 INTRODUCTION WITH the development of digital image processing, the restoration and preservation of art works using digital technology has been widely accepted as an effective and practical

  8. THE UK'S INNOVATION NETWORK KNOWLEDGE TRANSFER NETWORK

    E-Print Network [OSTI]

    ­ Support available from the Innovation Network Brian J. McCarthy ­ Knowledge Transfer Manager ­ Materials, entrepreneurs, academics and funders to develop new products and services. We help business to grow the economy people together `to make magic happen' 6,000+ Delegates per year #12;PAGE6 The KTN Structure · Materials

  9. Integrating Soil Ecological Knowledge into Restoration Management

    E-Print Network [OSTI]

    Pavao-Zuckerman, Mitchell

    Integrating Soil Ecological Knowledge into Restoration Management Liam Heneghan,1,2 Susan P. Miller that lead to restoration success. The discipline of soil ecology, which emphasizes both soil organisms the outcomes of restoration despite this variability. Here, we propose that the usefulness of this soil

  10. Comprehensible Knowledge Discovery: Gaining Insight from Data

    E-Print Network [OSTI]

    Pazzani, Michael J.

    and provide advice on how to reduce the likelihood of getting a certain disease. Analysis of a political to France, unless France ceased nuclear testing in the South Pacific. France paid a higher price to buy was identified. Most data mining systems cannot be given knowledge of economic and politics and are forced

  11. Learning Retrieval Knowledge from Data Helge Langseth

    E-Print Network [OSTI]

    Langseth, Helge

    of petroleum engineering ­ more specifically oil well drilling - in cooperation with the Norwegian oil company are linked within a semantic network of more general domain knowledge. In this paper we present a way Saga. Some initial results are described in this paper. The motivation for the work reported here

  12. SIMULATING PEDESTRIAN ROUTE SELECTION WITH IMPERFECT KNOWLEDGE

    E-Print Network [OSTI]

    Allan, Vicki H.

    SIMULATING PEDESTRIAN ROUTE SELECTION WITH IMPERFECT KNOWLEDGE Keywords: Multi-Agent Systems:Pedestrian choices allows pedestrians to make decisions in a timely and efficient manner. The heuristic function used of the pedestrian. We implement several common heuristic functions using the PLEASE simulation model and allow

  13. SIMULATING KNOWLEDGE AND INFORMATION IN PEDESTRIAN EGRESS

    E-Print Network [OSTI]

    Allan, Vicki H.

    SIMULATING KNOWLEDGE AND INFORMATION IN PEDESTRIAN EGRESS Kyle Feuz1,2 and Vicki Allan3 1Masters.allan@usu.edu Keywords: Reinforcement-Learning:Pedestrian Simulation:Egress Assistance:Congestion:Multi-Agent Systems Abstract: Accurate pedestrian simulation is a difficult yet important task. One of the main challenges

  14. Searching For Unlawful Carnal Knowledge Leif Azzopardi

    E-Print Network [OSTI]

    Azzopardi, Leif

    ]. When it comes to searching the web, numerous query log studies have shown that query terms relatedSearching For Unlawful Carnal Knowledge Leif Azzopardi School of Computing Science, University of Glasgow Glasgow, United Kingdom Leif.Azzopardi@glasgow.ac.uk ABSTRACT Search engines are often used

  15. Data Mining and Knowledge Discovery: Practice Notes

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery: Practice Notes dr. Petra Kralj Novak Petra.Kralj.Novak@ijs.si and exam · 2013/12/16: Written exam, seminar proposal discussion · 2014/1/8: Data mining seminar gain becomes the root 7. Divide the set S into subsets Si according to the values of A 8. Repeat steps

  16. Data Mining and Knowledge Petra Kralj Novak

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery Petra Kralj Novak Petra.Kralj.Novak@ijs.si 2011/11/08 #12 in Weka ­ Discussion about seminars and exam ­ Hands on Weka 3 · 2011/12/20: Written exam, seminar. Divide the set S into subsets Si according to the values of A 8. Repeat steps 1-7 on each Si Test

  17. Towards a Europe of Knowledge and

    E-Print Network [OSTI]

    Madsen, Claus

    Towards a Europe of Knowledge and Innovation World-class research as the centrepiece;Foreword The EIROforum Vision for Science and Europe I am proud that the European Space Agency currently holds the chair of the EIROforum, the partnership comprising Europe's seven intergovernmental re- search

  18. Technology transfer at CERN a study on inter-organizational knowledge transfer within multi-national R&D collaborations

    E-Print Network [OSTI]

    Huuse, H; Streit-Bianchi, M

    2004-01-01

    This study focus on the knowledge aspect of inter-organizational technology transfer projects. We have studied two large R&D collaborations where CERN is involved as one of several participating organizations, in order to reveal the causalities related to the knowledge transfer processes within these projects. The objective of the study is to understand how knowledge transfer happens, identify influencing factors to the process, and finally investigate the outcome of such processes. The study is founded on a thorough literature review where we examine different aspects of inter-organizational knowledge transfer. Based on the theory, we develop an analytic framework and establish different elements in the knowledge transfer process to study in more detail. This framework illustrates the relation between the different elements in a knowledge transfer process and provides the structure for our empirical foundation. We perform an explanatory embedded multiple case study and analyze our findings in terms of th...

  19. KnowledgeAssetManagementMentzasApostolou AbeckerYoung

    E-Print Network [OSTI]

    Chen-Burger, Yun-Heh (Jessica)

    123 KnowledgeAssetManagementMentzas·Apostolou Abecker·Young Gregoris Mentzas Dimitris Apostolou Knowledge Asset Management There are two main approaches to knowledge management (KM): · the process Asset Management presents a knowledge asset-centric approach, which fuses the previous two approaches

  20. Knowledge Engineering for non-Engineers Tatiana Gavrilova

    E-Print Network [OSTI]

    Boyer, Edmond

    Knowledge Engineering for non-Engineers Tatiana Gavrilova Graduate School of Management - Saint be interesting for the knowledge engineering research and practicising community. KEYWORDS: knowledge engineering-233" DOI : 10.1007/978-3-642-16327-2_28 #12;2 Knowledge Engineering for non-Engineers is one

  1. Applying Semantic Web Technologies to Knowledge Sharing in Aerospace Engineering

    E-Print Network [OSTI]

    Ciravegna, Fabio

    Applying Semantic Web Technologies to Knowledge Sharing in Aerospace Engineering A.-S. Dadzie , R. This paper details an integrated methodology to optimise Knowledge reuse and sharing, illustrated with a use of Knowledge from legacy documents via automated means, or directly in systems interfacing with Knowledge

  2. Alerts in BIOSIS Previews via ISI Web of Knowledge

    E-Print Network [OSTI]

    California at San Diego, University of

    Alerts in BIOSIS Previews® via ISI Web of Knowledge The alerting capability in ISI Web of Knowledge research. This powerful feature is accessible via the ISI Web of Knowledge homepage, where you can log on emailing of search results, follow these steps: 1. Sign in to ISI Web of Knowledge via the link on the ISI

  3. Quantifying knowledge exchange in R&D networks: a data-driven model

    E-Print Network [OSTI]

    Tomasello, Mario Vincenzo; Schweitzer, Frank

    2015-01-01

    We develop an agent-based model to reproduce the process of link formation and to understand the effect of knowledge exchange in collaborative inter-firm networks of Research and Development (R&D) alliances. In our model, agents form links based on their previous alliance history and then exchange knowledge with their partners, thus approaching in a knowledge space. We validate our model against real data using a two-step approach. Through an inter-firm alliance dataset, we estimate the model parameters related to the alliance formation, at the same time reproducing the topology of the resulting collaboration network. Subsequently, using a dataset on firm patents, we estimate the parameters related to the process of knowledge exchange. The underlying knowledge space that we consider in our study is defined by real patent classes, allowing for a precise quantification of every firm's knowledge position. We find that real R&D alliances have a duration of around two years, and that the subsequent knowled...

  4. Implementation Plan for the Office of Nuclear Energy Knowledge Management Program

    SciTech Connect (OSTI)

    Kimberlyn C. Mousseau

    2011-12-01

    The primary purpose of the Department of Energy (DOE), Office of Nuclear Energy (NE) Knowledge Management (KM) Program is to capture, share, disseminate, and ensure the ability to apply the knowledge created by the major nuclear energy Research and Development (R&D) programs. In support of the KM program, the Implementation Plan for the Office of NE KM Program outlines the knowledge management and distributed data environment that is required for its success. In addition to enumerating some strategic goals and objectives, this document characterizes the initial program and identifies computer-based areas of investment required for increased knowledge sharing and collaboration. It identifies and addresses investments already in existence and describes how these investments can be further enhanced and implemented to support a distributed KM program. The Idaho National Laboratory (INL) is leading the effort to identify and address these investments through the implementation of a distributed KM program that includes participants from ten of the major DOE national laboratories.

  5. In Proc. of the 14th International Conference on Knowledge Engineering and Knowledge Management EKAW 2004, to appear.

    E-Print Network [OSTI]

    Mizoguchi, Riichiro

    In Proc. of the 14th International Conference on Knowledge Engineering and Knowledge Management. Functionality is one of the key concepts in understanding an artifact and in engineering domain knowledge. Although the importance of sharing of engineering knowledge in industry has been widely recognized, from

  6. City Knowledge Patterns: A standard for Smart City Knowledge management Nooshin Allahyari, Mark S. Fox, and Michael Gruninger

    E-Print Network [OSTI]

    Sun, Yu

    City Knowledge Patterns: A standard for Smart City Knowledge management Nooshin Allahyari, Mark S in recogniz- ing knowledge requirements of city government. This model, which we denote as City Knowledge category of the city government, and is comprised of a set of inter-relate concepts and attributes

  7. Knowledge Discovery, Knowledge Management and Enterprise-Wide Information Technology Tools Final Report

    SciTech Connect (OSTI)

    Patton, Robert M; Symons, Christopher T; Gorman, Bryan L; Treadwell, Jim N

    2012-04-01

    A final report on an ORNL task to establish a knowledge discovery and management tool to retrieve and recommend information from existing S&T documents for the Office of Naval Research Global.

  8. Supernetworks for theSupernetworks for the Management of KnowledgeManagement of Knowledge

    E-Print Network [OSTI]

    Nagurney, Anna

    International Conference on Knowledge, Culture and Change in Organisations, University of Greenwich, London #12;· Internet · Transportation/logistical networks · Other telecommunication networks · Energy Era #12;Network System Nodes Links Flows Transportation Urban Intersections, Roads Autos Homes, Places

  9. Knowledge Management at the Fast Flux Test Facility

    SciTech Connect (OSTI)

    Wootan, David W.; Omberg, Ronald P.

    2013-06-01

    One of the goals of the Department of Energy’s Office of Nuclear Energy, initiated under the Fuel Cycle Research and Development Program (FCRD) and continued under the Advanced Reactor Concepts Program (ARC) is to preserve the knowledge that has been gained in the United States on Liquid Metal Reactors (LMRs) that could support the development of an environmentally and economically sound nuclear fuel cycle. The Fast Flux Test Facility (FFTF) is the most recent LMR to operate in the United States, from 1982 to 1992, and was designed as a fully instrumented test reactor with on-line, real time test control and performance monitoring of components and tests installed in the reactor. The 10 years of operation of the FFTF provided a very useful framework for testing the advances in LMR safety technology based on passive safety features that may be of increased importance to new designs after the events at Fukushima. Knowledge preservation at the FFTF is focused on the areas of design, construction, and startup of the reactor, as well as on preserving information obtained from 10 years of successful operating history and extensive irradiation testing of fuels and materials. In order to ensure protection of information at risk, the program to date has sequestered reports, files, tapes, and drawings to allow for secure retrieval. The FFTF knowledge management program includes a disciplined and orderly approach to respond to client’s requests for documents and data in order to minimize the search effort and ensure that future requests for this information can be readily accommodated.

  10. Abnormal event identification in nuclear power plants using a neural network and knowledge processing

    SciTech Connect (OSTI)

    Ohga, Yukiharu; Seki, Hiroshi (Hitachi, Ltd. Energy Research Lab., Ibarakiken (Japan))

    1993-02-01

    The combination of a neural network and knowledge processing have been used to identify abnormal events that cause a reactor to scram in a nuclear power plant. The neural network recognizes the abnormal event from the change pattern of analog data for state variables, and this result is confirmed from digital data using a knowledge base of plant status when each event occurs. The event identification method is tested using test data based on simulated results of a transient analysis program for boiling water reactors. It is confirmed that a neural network can identify an event in which it has been trained even when the plant conditions, such as fuel burnup, differ from those used in the training and when the analog data contain white noise. The network does not mistakenly identify the nontrained event as a trained one. The method is feasible for event identification, and knowledge processing improves the reliability of the identification.

  11. Surgeons' Knowledge and Practices Regarding the Role of Radiation Therapy in Breast Cancer Management

    SciTech Connect (OSTI)

    Zhou, Jessica; Griffith, Kent A.; Hawley, Sarah T.; Zikmund-Fisher, Brian J.; Janz, Nancy K.; Sabel, Michael S.; Katz, Steven J.; Jagsi, Reshma

    2013-12-01

    Purpose: Population-based studies suggest underuse of radiation therapy, especially after mastectomy. Because radiation oncology is a referral-based specialty, knowledge and attitudes of upstream providers, specifically surgeons, may influence patients' decisions regarding radiation, including whether it is even considered. Therefore, we sought to evaluate surgeons' knowledge of pertinent risk information, their patterns of referral, and the correlates of surgeon knowledge and referral in specific breast cancer scenarios. Methods and Materials: We surveyed a national sample of 750 surgeons, with a 67% response rate. We analyzed responses from those who had seen at least 1 breast cancer patient in the past year (n=403), using logistic regression models to identify correlates of knowledge and appropriate referral. Results: Overall, 87% of respondents were general surgeons, and 64% saw >10 breast cancer patients in the previous year. In a scenario involving a 45-year-old undergoing lumpectomy, only 45% correctly estimated the risk of locoregional recurrence without radiation therapy, but 97% would refer to radiation oncology. In a patient with 2 of 20 nodes involved after mastectomy, 30% would neither refer to radiation oncology nor provide accurate information to make radiation decisions. In a patient with 4 of 20 nodes involved after mastectomy, 9% would not refer to radiation oncology. Fewer than half knew that the Oxford meta-analysis revealed a survival benefit from radiation therapy after lumpectomy (45%) or mastectomy (32%). Only 16% passed a 7-item knowledge test; female and more-experienced surgeons were more likely to pass. Factors significantly associated with appropriate referral to radiation oncology included breast cancer volume, tumor board participation, and knowledge. Conclusions: Many surgeons have inadequate knowledge regarding the role of radiation in breast cancer management, especially after mastectomy. Targeted educational interventions may improve the quality of care.

  12. Late Pleistocene Human Subsistence in Northern Africa: The State of our Knowledge and Placement

    E-Print Network [OSTI]

    limited knowledge about human paleoecology from other parts of the continent. This chapter aims to reviewBrearty and Brooks 2000; Henshilwood and Marean 2003; Mellars 2006; Klein 2009). Paleoecological investi- gations and paleoecology and modern human origins is based on South African sites. This region possesses an abundance

  13. Revising Knowledge in Multi-Agent Systems Using Revision Programming with Preferences

    E-Print Network [OSTI]

    Pivkina, Inna

    to facilitate dynamic collaboration of the intelligent components, with the goal of meeting local and/or global) the database. Revision rules offer a natural way of encoding policies for the integration of agent to any knowledge base a (possibly empty) family of revisions. Each revision represents an updated version

  14. OWL Ontology as Semantic PublicationSemantic Publishing of Knowledge about Amino Acids

    E-Print Network [OSTI]

    Stevens, Robert

    this as an ontology writ- ten in OWL and presented as XML/RDF. The classification of amino acids is based on taylor's original description of the amino acid's physicochemical properties are captured with value parti- tionsOWL Ontology as Semantic PublicationSemantic Publishing of Knowledge about Amino Acids #12;[ Robert

  15. Knowledge Media Institute Representing Scholarly Claims in Internet Digital

    E-Print Network [OSTI]

    Knowledge Media Institute Representing Scholarly Claims in Internet Digital Libraries: A Knowledge in Computer Science (Eds.) Serge Abiteboul and Anne-Marie Vercoustre. Representing Scholarly Claims with tracking and interpreting scholarly documents in distributed research communities. We argue that current

  16. Lexical semantics and knowledge representation in multilingual sentence generation

    E-Print Network [OSTI]

    Toronto, University of

    Lexical semantics and knowledge representation in multilingual sentence generation by Manfred Stede semantics and knowledge representation in multilingual sentence generation Manfred Stede Doctor approach to automatic language generation that focuses on the need to produce a range of di erent

  17. Guidelines and Metrics for Configurable and Sustainable Architectural Knowledge Modelling

    E-Print Network [OSTI]

    Brezany, Peter

    Guidelines and Metrics for Configurable and Sustainable Architectural Knowledge Modelling ABSTRACT erosion, architecture knowledge, technical sustainability, technical debt. 1. INTRODUCTION Architectural to achieve architecture sustainability. Our main contributions of this paper is a configurable meta

  18. Tools for Extracting Actionable Medical Knowledge from Genomic Big Data

    E-Print Network [OSTI]

    Goldstein, Theodore Charles

    2013-01-01

    KNOWLEDGE FROM GENOMIC BIG DATA A dissertation submitted inKNOWLEDGE FROM GENOMIC BIG DATA By Theodore C. Goldsteinby the quantities of big data from these assays and cannot

  19. NOTES TOWARD A MODEL FOR THE STRUCTURE OF KNOWLEDGE SYSTEMS

    E-Print Network [OSTI]

    Futrell, Richard H.

    1972-10-01

    This paper reviews two formulations of some structural aspects of knowledge systems. These two structural specifications of knowledge systems, by Judith Willer and by Norwood Russell Hanson, are then combined to suggest a model for relating several...

  20. Probabilistic Knowledge as Objective Knowledge in Quantum Mechanics: Potential Powers Instead of Actual Properties

    E-Print Network [OSTI]

    de Ronde, Christian

    2015-01-01

    In classical physics, probabilistic or statistical knowledge has been always related to ignorance or inaccurate subjective knowledge about an actual state of affairs. This idea has been extended to quantum mechanics through a completely incoherent interpretation of the Fermi-Dirac and Bose-Einstein statistics in terms of "strange" quantum particles. This interpretation, naturalized through a widespread "way of speaking" in the physics community, contradicts Born's physical account of {\\Psi} as a "probability wave" which provides statistical information about outcomes that, in fact, cannot be interpreted in terms of 'ignorance about an actual state of affairs'. In the present paper we discuss how the metaphysics of actuality has played an essential role in limiting the possibilities of understating things differently. We propose instead a metaphysical scheme in terms of powers with definite potentia which allows us to consider quantum probability in a new light, namely, as providing objective knowledge about a...

  1. Probabilistic Knowledge as Objective Knowledge in Quantum Mechanics: Potential Powers Instead of Actual Properties

    E-Print Network [OSTI]

    Christian de Ronde

    2015-06-24

    In classical physics, probabilistic or statistical knowledge has been always related to ignorance or inaccurate subjective knowledge about an actual state of affairs. This idea has been extended to quantum mechanics through a completely incoherent interpretation of the Fermi-Dirac and Bose-Einstein statistics in terms of "strange" quantum particles. This interpretation, naturalized through a widespread "way of speaking" in the physics community, contradicts Born's physical account of {\\Psi} as a "probability wave" which provides statistical information about outcomes that, in fact, cannot be interpreted in terms of 'ignorance about an actual state of affairs'. In the present paper we discuss how the metaphysics of actuality has played an essential role in limiting the possibilities of understating things differently. We propose instead a metaphysical scheme in terms of powers with definite potentia which allows us to consider quantum probability in a new light, namely, as providing objective knowledge about a potential state of affairs.

  2. Learning at the Knowledge Level Thomas G. Dietterich

    E-Print Network [OSTI]

    for such predictions has been suppressed. The key abstraction underlying the knowledge level is the notionLearning at the Knowledge Level Thomas G. Dietterich Department of Computer Science Oregon State University Corvallis, OR 97331 dietterich%oregon­state@csnet­relay Running head: Knowledge Level Learning #12

  3. Generic Knowledge Structures for Probabilistic-Network Engineering

    E-Print Network [OSTI]

    Utrecht, Universiteit

    Generic Knowledge Structures for Probabilistic-Network Engineering Eveline M. Helsper Linda C. van-CS-2005-014 www.cs.uu.nl #12;Generic Knowledge Structures for Probabilistic-Network Engineering Eveline M of engineering probabilistic networks can be sup- ported by a library of generic knowledge structures

  4. Knowledge representation in process engineering Franz Baader and Ulrike Sattler

    E-Print Network [OSTI]

    Baader, Franz

    Knowledge representation in process engineering Franz Baader and Ulrike Sattler RWTH Aachen to represent the relevant process engi­ neering knowledge. The application domain Process engineering knowledge engineer), and not automatically in­ ferred from the definition of the class. As the complexity

  5. A KNOWLEDGE ENGINEERING APPROACH TO NATURAL LANGUAGE UNDERSTANDING

    E-Print Network [OSTI]

    Shapiro, Stuart C.

    A KNOWLEDGE ENGINEERING APPROACH TO NATURAL LANGUAGE UNDERSTANDING Stuart C. Shapiro & Jeannette G ABSTRACT This paper describes the results of a preliminary study of a Knowledge Engineering approach. I INTRODUCTION This paper describes the results of a · preliminary study of a Knowledge Engineering

  6. Ontological Engineering: Foundation of the next generation knowledge processing

    E-Print Network [OSTI]

    Mizoguchi, Riichiro

    Ontological Engineering: Foundation of the next generation knowledge processing Riichiro Mizoguchi@ei.sanken.osaka-u.ac.jp Abstract. Ontological engineering as a key technology of the next generation knowledge processing development and a lot of research activities have been done under the flag of "knowledge engineering". However

  7. Is Knowledge Easy -or Impossible? Externalism as the Only Alternative

    E-Print Network [OSTI]

    Fitelson, Branden

    Chapter 4 Is Knowledge Easy - or Impossible? Externalism as the Only Alternative to Skepticism makes knowledge too easy. i In what follows I press the suggestion that the only alternative, they believe that there is some third alternative to the easy knowledge of the externalist and the unattainable

  8. Discovering Multidimensional Patterns in Large Datasets by Knowledge Scouts

    E-Print Network [OSTI]

    Michalski, Ryszard S.

    mining and machine learning programs with standard data and knowledge management operations data mining applications. Keywords: Data Mining, Knowledge Discovery, Knowledge Scouts, Inductive Projects Agency under Grant No. F49620-95-1-0462 administered by the Air Force Office of Scientific

  9. Knowledge Retention: Developing a Knowledge Transfer Plan for the Engineering Department at Wolf Creek Nuclear Operating Corporation

    E-Print Network [OSTI]

    Bussard, Grant William

    2013-05-17

    the engineering field is highly steeped in knowledge, it is imperative that tacit and explicit knowledge is retained and transferred in order to develop an effective and efficient organization. When individuals leave the company, they leave with more than what...

  10. An Interactive Dynamic Model for Integrating Knowledge Management Methods and Knowledge Sharing Technology in a Traditional Classroom

    E-Print Network [OSTI]

    Phoha, Vir V.

    An Interactive Dynamic Model for Integrating Knowledge Management Methods and Knowledge Sharing Technology in a Traditional Classroom Vir V. Phoha Computer Science Louisiana Tech University Ruston, LA Management methods and Knowledge Sharing technology to integrate the acquisition of skills and relevant

  11. A Script-Based Approach to Modifying Knowledge-Based Systems

    E-Print Network [OSTI]

    Southern California, University of

    system follows a prede ned inference structure or problem-solving method PSM, and they only support KBSs. However, its applicability is severely limited since a they can only be used for a particular PSM PSM. There is another class of KA tools which provide support for a wider range of KBSs and modi

  12. A Molecular Mechanics Knowledge Base Applied to Template Based Structure Prediction 

    E-Print Network [OSTI]

    Qu, Xiaotao

    2011-02-22

    . Structures were generated with physically realistic conformations that represented the properties of ensembles of native structures. First, we focused our study on the relationship among different factors that stabilize protein structure. Using a...

  13. Knowledge Provenance: An Approach to Modeling and Maintaining The Evolution and Validity of Knowledge

    E-Print Network [OSTI]

    Fox, Mark S.

    with information of unknown sources, and need to interact with "strangers". This makes trust and the validity of information in cyberspace arise as crucial issues. This thesis proposes knowledge provenance (KP) as a formal and maintaining the information sources, information dependencies, and trust structures. We conceptualize

  14. Knowledge Integration to Make Decisions About Complex Systems: Sustainability of Energy Production from Agriculture

    ScienceCinema (OSTI)

    Danuso, Francesco [University of Udine, Italy

    2010-01-08

    A major bottleneck for improving the governance of complex systems, rely on our ability to integrate different forms of knowledge into a decision support system (DSS). Preliminary aspects are the classification of different types of knowledge (a priori or general, a posteriori or specific, with uncertainty, numerical, textual, algorithmic, complete/incomplete, etc.), the definition of ontologies for knowledge management and the availability of proper tools like continuous simulation models, event driven models, statistical approaches, computational methods (neural networks, evolutionary optimization, rule based systems etc.) and procedure for textual documentation. Following these views at University of Udine, a computer language (SEMoLa, Simple, Easy Modelling Language) for knowledge integration has been developed.  SEMoLa can handle models, data, metadata and textual knowledge; it implements and extends the system dynamics ontology (Forrester, 1968; Jørgensen, 1994) in which systems are modelled by the concepts of material, group, state, rate, parameter, internal and external events and driving variables. As an example, a SEMoLa model to improve management and sustainability (economical, energetic, environmental) of the agricultural farms is presented. The model (X-Farm) simulates a farm in which cereal and forage yield, oil seeds, milk, calves and wastes can be sold or reused. X-Farm is composed by integrated modules describing fields (crop and soil), feeds and materials storage, machinery management, manpower  management, animal husbandry, economic and energetic balances, seed oil extraction, manure and wastes management, biogas production from animal wastes and biomasses.

  15. A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification

    SciTech Connect (OSTI)

    Wang, Jing; Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.; Varnum, Susan M.; Brown, Joseph N.; Riensche, Roderick M.; Adkins, Joshua N.; Jacobs, Jon M.; Hoidal, John R.; Scholand, Mary Beth; Pounds, Joel G.; Blackburn, Michael R.; Rodland, Karin D.; McDermott, Jason E.

    2013-10-01

    Background. The availability of large complex data sets generated by high throughput technologies has enabled the recent proliferation of disease biomarker studies. However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into the biomarker selection process. Objective. To develop a generalizable framework that can incorporate expert knowledge into data-driven processes in a semiautomated way while providing a metric for optimization in a biomarker selection scheme. Methods. The framework was implemented as a pipeline consisting of five components for the identification of signatures from integrated clustering (ISIC). Expert knowledge was integrated into the biomarker identification process using the combination of two distinct approaches; a distance-based clustering approach and an expert knowledge-driven functional selection. Results. The utility of the developed framework ISIC was demonstrated on proteomics data from a study of chronic obstructive pulmonary disease (COPD). Biomarker candidates were identified in a mouse model using ISIC and validated in a study of a human cohort. Conclusions. Expert knowledge can be introduced into a biomarker discovery process in different ways to enhance the robustness of selected marker candidates. Developing strategies for extracting orthogonal and robust features from large data sets increases the chances of success in biomarker identification.

  16. A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wang, Jing; Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.; Varnum, Susan M.; Brown, Joseph N.; Riensche, Roderick M.; Adkins, Joshua N.; Jacobs, Jon M.; Hoidal, John R.; Scholand, Mary Beth; et al

    2013-01-01

    Background . The availability of large complex data sets generated by high throughput technologies has enabled the recent proliferation of disease biomarker studies. However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into the biomarker selection process. Objective . To develop a generalizable framework that can incorporate expert knowledge into data-driven processes in a semiautomated way while providing a metric for optimization in a biomarker selection scheme. Methods . The framework was implemented as a pipeline consisting of five components for the identification of signatures from integrated clustering (ISIC).more »Expert knowledge was integrated into the biomarker identification process using the combination of two distinct approaches; a distance-based clustering approach and an expert knowledge-driven functional selection. Results . The utility of the developed framework ISIC was demonstrated on proteomics data from a study of chronic obstructive pulmonary disease (COPD). Biomarker candidates were identified in a mouse model using ISIC and validated in a study of a human cohort. Conclusions . Expert knowledge can be introduced into a biomarker discovery process in different ways to enhance the robustness of selected marker candidates. Developing strategies for extracting orthogonal and robust features from large data sets increases the chances of success in biomarker identification. « less

  17. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 36, NO. 3, MAY 2006 429 Secure Knowledge Management

    E-Print Network [OSTI]

    Sandhu, Ravi

    will be explored. Index Terms--Data mining, privacy, role-based access control (RBAC), secure knowledge management, multimedia, collaboration, and the web. Therefore, security in web data management, multi- media systems is main- taining security. Knowledge management includes many tech- nologies such as data mining

  18. Knowledge-Projection for Tele-Maintenance

    E-Print Network [OSTI]

    Tu, Yicheng

    · Maintenance-based processes ­ planned maintenance, shipboard troubleshooting, intermediate and depot level Components · Dynamic Process ­ Step-by-step description of events, decision points, drill-down points, data

  19. COLLOQUIUM: "The Usefulness of Useless Knowledge": The History...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5:30pm Colloquia MBG Auditorium COLLOQUIUM: "The Usefulness of Useless Knowledge": The History of the Institute for Advanced Study Christine Di Bella Institute for Advanced Study...

  20. Exploration Best Practices and the OpenEI Knowledge Exchange...

    Broader source: Energy.gov (indexed) [DOE]

    Exploration Best Practices and the OpenEI Knowledge Exchange Webinar slide presentation by Katherine Young, Timothy Reber and Kermit Witherbee on April 11, 2012....

  1. Qualitative Knowledge, Causal Reasoning, and the Localization of Failures

    E-Print Network [OSTI]

    Brown, Allen L.

    A research program is proposed, the goal of which is a computer system that embodies the knowledge and methodology of a competent radio repairman.

  2. Supplement to Chrisman, Langley, Bay, and Pohorille, \\Incorporating Biological Knowledge

    E-Print Network [OSTI]

    Chrisman, Lonnie

    Supplement to Chrisman, Langley, Bay, and Pohorille, \\Incorporating Biological Knowledge This supplement contains some of the detailed technical details of the proba- bilistic model, algorithm

  3. Organizing Global Knowledge Networks in the Electronics Industry

    E-Print Network [OSTI]

    Dedrick, Jason; Kraemer, Kenneth L; Linden, Greg; Brown, Claire; Murtha, Tom

    2007-01-01

    Knowledge Networks in the Electronics Industry 1 Jasonusing studies from the electronics industry. We examine theanalysis to the overall electronics industry to illustrate

  4. Design of currency, markets, and economy for knowledge

    E-Print Network [OSTI]

    Shen, Dawei

    2012-01-01

    Information markets benefit the communities they serve by facilitating electronic distributed exchange of information. Further benefits include enhancing knowledge sharing, innovation, and productivity. This research ...

  5. MHK Technologies/New Knowledge Wind and Wave Renewable Mobile...

    Open Energy Info (EERE)

    < MHK Technologies Jump to: navigation, search << Return to the MHK database homepage New Knowledge Wind and Wave Renewable Mobile Wind and Wave Power Plant Platform.jpg...

  6. Knowledge Transfer Partnerships Williams Industrial Services Ltd & Queen's University Belfast

    E-Print Network [OSTI]

    Paxton, Anthony T.

    of biogas plant Use of QUESTOR laboratories for sample analysis Company Quote "Through the Knowledge reductions in energy footprint while maintaining treatment performance. Key Benefits Results of sludge

  7. Do migrants transfer tacit knowledge? : the case of highly skilled Bangladeshi immigrants in the United States

    E-Print Network [OSTI]

    Sultana, Moshahida

    2005-01-01

    Transfer of knowledge is a complex process. While codified knowledge is easy to transfer, tacit knowledge is not. "Tacit knowledge is difficult to exchange over long distance because it is heavily imbued with meaning arising ...

  8. A Model for Student Learning in Knowledge Translation and Transfer in Ontario 

    E-Print Network [OSTI]

    Roberts, Owen A.

    2011-10-21

    it in perspective for readers, listeners and viewers. As the hunger to understand agriculture grows, science-based knowledge is becoming a cornerstone for major information sources such as governments. Science, rather than trust, is the touchstone for the 21st... century (Wilson, 2008). Science helps explain phenomena, and in modern society, the media is often the public?s primary source of science information. As such, the media can have a profound impact on how people view the risks and benefits...

  9. Generic Image Classification Using Visual Knowledge on the Web

    E-Print Network [OSTI]

    Yanai, Keiji

    mining, image gathering, image classification 1. INTRODUCTION Permission to make digital or hard copiesGeneric Image Classification Using Visual Knowledge on the Web Keiji Yanai Department of Computer@cs.uec.ac.jp ABSTRACT In this paper, we describe a generic image classification sys- tem with an automatic knowledge

  10. Combining Inductive and Deductive Inference in Knowledge Management Tasks

    E-Print Network [OSTI]

    Fernandes, Alvaro A. A.

    of knowledge and data decreases under pressure from con­ stantly changing information needs. The life cycle short KIDM life cycles is a vital competitiveness issue. One such situation is characterized when market technologies can underpin an architecture for distributed knowledge management in which higher throughput in in

  11. Knowledge Engineering rediscovered: Towards Reasoning Patterns for the Semantic Web

    E-Print Network [OSTI]

    van Harmelen, Frank

    Knowledge Engineering rediscovered: Towards Reasoning Patterns for the Semantic Web Frank van Amsterdam annette@cs.vu.nl Holger Wache University of Applied Sciences Northwestern Switzerland holger.wache@fhnw.ch ABSTRACT The extensive work on Knowledge Engineering in the 1990s has resulted in a systematic analysis

  12. Knowledge Discovery from Citation Networks Zhen Guo, Zhongfei (Mark) Zhang

    E-Print Network [OSTI]

    Zhang, Zhongfei "Mark"

    Knowledge Discovery from Citation Networks Zhen Guo, Zhongfei (Mark) Zhang Computer Science,ychi,ygong}@sv.nec-labs.com Abstract--Knowledge discovery from scientific articles has received increasing attentions recently since. In a corpus of scientific articles such as a digital library, documents are connected by citations and one

  13. International Journal "Information Technologies and Knowledge" Vol.2 / 2008318 Bibliography

    E-Print Network [OSTI]

    Cardeñosa, Jesús

    -oriented Access to the Knowledge in Digital Libraries, In proc. of HUBUSKA Fourth Open Workshop "Semantic WebInternational Journal "Information Technologies and Knowledge" Vol.2 / 2008318 Bibliography [Pavlov et al., `06b] Pavlov, R., Paneva D., Pavlova-Draganova L., Draganov L. (2006), Digital Libraries

  14. Two Perspectives on Data Quality Geographic Knowledge Production Through GIS

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    Two Perspectives on Data Quality Geographic Knowledge Production Through GIS: Towards a Model Report 92-12 December 1992 #12;Geographic Knowledge Production Through GIS: Towards a Model for Quality through GIS: Towards a model for quality monitoring. HELEN COUCLELIS Department of Geography University

  15. KNOWLEDGE DISCOVERY IN DATABASES FOR CUSTOMER RELATIONSHIP MANAGEMENT

    E-Print Network [OSTI]

    Spronck, Pieter

    sector in Egypt. This area of research is closely related to the research areas of Data Mining (DM of intelligent knowledge engineering in the banking sector in Egypt. KEYWORDS: Knowledge discovery in databases of new technologies, have contributed to the growth of customer's power. Customers may switch banks

  16. Knowledge-Intensive Work in the Oil and Gas Industry

    E-Print Network [OSTI]

    Knowledge-Intensive Work in the Oil and Gas Industry: A Case Study Thesis for the degree collaborative work practices within a large international oil and gas company (OGC). The work is founded empirical findings, we argue that in knowledge-intensive, interdisciplinary work such as oil and gas

  17. Music Knowledge Analysis: Towards an Efficient Representation for Composition

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

    Music Knowledge Analysis: Towards an Efficient Representation for Composition Jesus L. Alvaro1LAlvaro@gmail.com bbarros@lsi.uned.es 2 Interdisciplinary Centre for Computer Music Research, University of Plymouth, UK eduardo.miranda@plymouth.ac.uk Abstract. This document presents an analysis of Music Knowledge as a first

  18. Data Mining and Knowledge ISSN 1384-5810

    E-Print Network [OSTI]

    Droegemeier, Kelvin K.

    1 23 Data Mining and Knowledge Discovery ISSN 1384-5810 Volume 22 Combined 1-2 Data Min Knowl Disc this knowledge for future severe weather detection and prediction algorithms. Keywords Temporal data mining accuracy are to take place. The long-term goals of our work in spatiotemporal data mining

  19. Toward Knowledge-Rich Data Mining Pedro Domingos

    E-Print Network [OSTI]

    Domingos, Pedro

    Toward Knowledge-Rich Data Mining Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA 98195 pedrod@cs.washington.edu 1 The Knowledge Gap Data mining has made tremendous progress in the last ten years. However, a large gap remains between the results a data mining

  20. Levels and Sources of Forest Fire Prevention Knowledge

    E-Print Network [OSTI]

    Standiford, Richard B.

    Levels and Sources of Forest Fire Prevention Knowledge of California Hunters William S. Folkman U;Folkman, William S. 1963. Levels and sources of forest fire prevention knowl- edge of California hunters-managerial occupations. Their level of knowl- edge about forest fire prevention is generally high, but their knowledge

  1. Genre Taxonomy: A Knowledge Repository of Communicative Actions

    E-Print Network [OSTI]

    Genre Taxonomy: A Knowledge Repository of Communicative Actions Takeshi Yoshioka1 Center taxonomy as a knowledge repository of communicative structures or "typified actions" enacted by organizational members. The Genre taxonomy aims at helping people to make sense of diverse types of communicative

  2. Knowledge and plan execution management in planning fire fighting operations

    E-Print Network [OSTI]

    Fernández Olivares, Juan

    Knowledge and plan execution management in planning fire fighting operations Marc de la Asunci to assist human experts in the design of forest fire fighting plans. Issues about how to engineer planning knowledge for such a system, how to monitor the execution of fighting plans and how to patch unfeasible

  3. Sharing and Reusing Architectural Knowledge -Architecture, Rationale, and Design Intent

    E-Print Network [OSTI]

    Perry, Dewayne E.

    be used for reference. Current research trends in software architecture focus on the treatment and domain- specific. It is truly a multi-disciplinary domain within software engineering and knowledge}@ece.utexas.edu Abstract The shift of the software architecture community towards architectural knowledge has brought along

  4. Evaluating Verification and Validation Methods in Knowledge Engineering

    E-Print Network [OSTI]

    Chen-Burger, Yun-Heh (Jessica)

    management, the paper offers pointers to areas where further work needs to be done on developing more development project. This remains true in the context of knowledge management: V&V techniques provide ways to rectify anomalous knowledge. This paper provides a critical assessment of the state of the practice

  5. the Knowledge Centre for Materials CheMistry

    E-Print Network [OSTI]

    the Knowledge Centre for Materials CheMistry The Knowledge Centre for Materials Chemistry (KCMC) coordinates, develops and exploits cutting- edge research in materials chemistry. K CMC does this by providing chemistry from STFC's Daresbury Laboratory in Cheshire and the universities of Liverpool, Manchester

  6. Building Roadmaps: A Knowledge Sharing Perspective Antony Tang

    E-Print Network [OSTI]

    van Vliet, Hans

    Building Roadmaps: A Knowledge Sharing Perspective Antony Tang VU University Amsterdam Department Amsterdam, the Netherlands hans@cs.vu.nl ABSTRACT Roadmapping is a process that involves many stakeholders these people. We report a number of knowledge sharing scenarios in the roadmapping process. In order to address

  7. Method and system for knowledge discovery using non-linear statistical analysis and a 1st and 2nd tier computer program

    DOE Patents [OSTI]

    Hively, Lee M. (Philadelphia, TN)

    2011-07-12

    The invention relates to a method and apparatus for simultaneously processing different sources of test data into informational data and then processing different categories of informational data into knowledge-based data. The knowledge-based data can then be communicated between nodes in a system of multiple computers according to rules for a type of complex, hierarchical computer system modeled on a human brain.

  8. Talent, Oregon: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)ModelTalbotts Ltd Jump to: navigation, search Name:

  9. Knowledge Discovery and Data Mining (KDDM) survey report.

    SciTech Connect (OSTI)

    Phillips, Laurence R.; Jordan, Danyelle N.; Bauer, Travis L.; Elmore, Mark T.; Treadwell, Jim N.; Homan, Rossitza A.; Chapman, Leon Darrel; Spires, Shannon V.

    2005-02-01

    The large number of government and industry activities supporting the Unit of Action (UA), with attendant documents, reports and briefings, can overwhelm decision-makers with an overabundance of information that hampers the ability to make quick decisions often resulting in a form of gridlock. In particular, the large and rapidly increasing amounts of data and data formats stored on UA Advanced Collaborative Environment (ACE) servers has led to the realization that it has become impractical and even impossible to perform manual analysis leading to timely decisions. UA Program Management (PM UA) has recognized the need to implement a Decision Support System (DSS) on UA ACE. The objective of this document is to research the commercial Knowledge Discovery and Data Mining (KDDM) market and publish the results in a survey. Furthermore, a ranking mechanism based on UA ACE-specific criteria has been developed and applied to a representative set of commercially available KDDM solutions. In addition, an overview of four R&D areas identified as critical to the implementation of DSS on ACE is provided. Finally, a comprehensive database containing detailed information on surveyed KDDM tools has been developed and is available upon customer request.

  10. Sustaining knowledge in the neutron generator community and benchmarking study.

    SciTech Connect (OSTI)

    Barrentine, Tameka C.; Kennedy, Bryan C.; Saba, Anthony W.; Turgeon, Jennifer L.; Schneider, Julia Teresa; Stubblefield, William Anthony; Baldonado, Esther

    2008-03-01

    In 2004, the Responsive Neutron Generator Product Deployment department embarked upon a partnership with the Systems Engineering and Analysis knowledge management (KM) team to develop knowledge management systems for the neutron generator (NG) community. This partnership continues today. The most recent challenge was to improve the current KM system (KMS) development approach by identifying a process that will allow staff members to capture knowledge as they learn it. This 'as-you-go' approach will lead to a sustainable KM process for the NG community. This paper presents a historical overview of NG KMSs, as well as research conducted to move toward sustainable KM.

  11. Office of Nuclear Energy Knowledge Management Program Situational Analysis Report

    SciTech Connect (OSTI)

    Kimberlyn C. Mousseau

    2011-12-01

    Knowledge management (KM) has been a high priority for the Department of Energy (DOE) Office of Nuclear Energy (NE) for the past several years. NE Programs are moving toward well-established knowledge management practices and a formal knowledge management program has been established. Knowledge management is being practiced to some level within each of the NE programs. Although it continues to evolve as NE programs evolve, a formal strategic plan that guides the implementation of KM has been developed. Despite the acceptance of KM within DOE NE, more work is necessary before the NE KM program can be considered fully successful. Per Dr. David J. Skyrme[1], an organization typically moves through the following evolutionary phases: (1) Ad-hoc - KM is being practiced to some level in some parts of the organization; (2) Formal - KM is established as a formal project or program; (3) Expanding - the use of KM as a discipline grows in practice across different parts of the organization; (4) Cohesive - there is a degree of coordination of KM; (5) Integrated - there are formal standards and approaches that give every individual access to most organizational knowledge through common interfaces; and (6) Embedded - KM is part-and-parcel of everyday tasks; it blends seamlessly into the background. According to the evolutionary phases, the NE KM program is operating at the two lower levels, Ad-hoc and Formal. Although KM is being practiced to some level, it is not being practiced in a consistent manner across the NE programs. To be fully successful, more emphasis must be placed on establishing KM standards and processes for collecting, organizing, sharing and accessing NE knowledge. Existing knowledge needs to be prioritized and gathered on a routine basis, its existence formally recorded in a knowledge inventory. Governance to ensure the quality of the knowledge being used must also be considered. For easy retrieval, knowledge must be organized according to a taxonomy that mimics nuclear energy programs. Technologies need to be established to make accessing the knowledge easier for the user. Finally, knowledge needs to be used as part of a well defined work process.

  12. Knowledge, Information and Data (KID) Track Track Description

    E-Print Network [OSTI]

    , classification, clustering, database management, data mining, digital libraries, electronic publishing, expert, XML, WWW, Web 2.0. Related areas include bioinformatics, library and information scienceKnowledge, Information and Data (KID) Track Track Description: This track focuses on the broad

  13. The production of audiovisual cues when feigning knowledge 

    E-Print Network [OSTI]

    Baddeley, Nic

    2010-06-30

    This paper describes 2 exploratory experiments aimed at creating a profile of audiovisual behaviours for a sub-type of deception, feigned knowledge. In Experiment 1, students were interviewed on camera about their own ...

  14. Agricultural science students' perceptions and knowledge of hearing loss 

    E-Print Network [OSTI]

    Slaydon, Sunny Leigh

    2009-05-15

    This study is designed to examine participants’ view of hearing loss as a critical health issue, the attitudes of people toward a person with a hearing impairment, the knowledge level of OSHA regulations pertaining to hearing loss, the general...

  15. Dietary Behaviors and Nutrition Knowledge among South Asians 

    E-Print Network [OSTI]

    Qamar, Zubaida

    2012-02-14

    " and "healthy foods not tasting as good." The top 3 motivators for healthy eating were "losing weight", "prevention of diseases", and "ability to find quick healthy recipes." The nutrition knowledge was assessed by qualitative and quantitative measures...

  16. Artificial Intelligence, Language and the Study of Knowledge

    E-Print Network [OSTI]

    Goldstein, Ira

    1975-07-01

    This paper studies the relationship of Artificial Intelligence to the study of language and the representation of the underlying knowledge which supports the comprehension process. It develops the view that intelligence ...

  17. Using Prior Knowledge in the Design of Classifiers 

    E-Print Network [OSTI]

    Shahrokh Esfahani, Mohammad

    2014-04-18

    Small samples are commonplace in genomic/proteomic classification, the result being inadequate classifier design and poor error estimation. A promising approach to alleviate the problem is the use of prior knowledge. On ...

  18. Knowledge Capture and Transfer Program (KCTP) “Newly Created” Powerpedia Page

    Broader source: Energy.gov [DOE]

    The Knowledge Capture and Transfer Program (KCTP) has a new logo and a newly created Powerpedia page.  The page layout and program descriptions allow for quicker searches and easier access to...

  19. Monitoring and Understanding Trends in Extreme Storms: State of Knowledge

    E-Print Network [OSTI]

    Kunkel, Kenneth E.

    The state of knowledge regarding trends and an understanding of their causes is presented for a specific subset of extreme weather and climate types. For severe convective storms (tornadoes, hailstorms, and severe ...

  20. Energy Efficiency Exchange 2015: Federal Training and Knowledge

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Efficiency Exchange 2015: Federal Training and Knowledge Overview Webinars: March 25 & April 8, 2015 Timothy D. Unruh PhD, PE, CEM Program Director DOE FEMP 2 Energy...

  1. The Olympics of science knowledge at DOE's New Jersey Regional...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Olympics of science knowledge at DOE's New Jersey Regional Science Bowl at PPPL By Jeanne Jackson DeVoe March 3, 2014 Tweet Widget Google Plus One Share on Facebook The J...

  2. Multivariate Analysis and Geovisualization with an Integrated Geographic Knowledge

    E-Print Network [OSTI]

    Multivariate Analysis and Geovisualization with an Integrated Geographic Knowledge Discovery, interpretation, and presentation of multivariate spatial patterns are important for scientific understanding together to detect and visualize multivariate spatial patterns. The integrated approach is able to: (1

  3. MODELLING DISTRIBUTED KNOWLEDGE PROCESSES IN NEXT GENERATION MULTIDISCIPLINARY ALLIANCES *

    E-Print Network [OSTI]

    Bowker, Geoffrey C.

    MODELLING DISTRIBUTED KNOWLEDGE PROCESSES IN NEXT GENERATION MULTIDISCIPLINARY ALLIANCES * Alaina G and industrial dollars are invested in establishing academic-industry alliances and building infrastructures and technology in distributed, multidisciplinary scientific teams in the National Computational Science Alliance

  4. Information/knowledge design in contextual hypermedia systems

    E-Print Network [OSTI]

    Miller, Andrew F., 1972-

    1998-01-01

    As we begin to comprehend the ways we interact with the data/information/knowledge structures which construct our individual perception of reality, we see a shift from the dyadic Cartesian method of reading our environment, ...

  5. Pre-service Teachers' Knowledge of Algebra Teaching for Equity 

    E-Print Network [OSTI]

    Anderson, Latoya

    2013-12-09

    This study examined validity and reliability of an instrument used to measure the cultural awareness beliefs and problem-solving strategies of pre-service mathematics teachers created by the Knowledge for Teaching Algebra Equitably (KATE) project...

  6. Time and Encoding Effects in the Concealed Knowledge Test

    E-Print Network [OSTI]

    Seymour, Travis L.; Fraynt, Becky R.

    2009-01-01

    Psychology Soft- ware Tools. Seymour, T. L. , & Kerlin, J.Psychology, 22, 475–490. Seymour, T. L. , Seifert, C. M. ,Knowledge Test Travis L. Seymour Æ Becky R. Fraynt Published

  7. OPERATIONAL EARTHQUAKE FORECASTING State of Knowledge and Guidelines for Utilization

    E-Print Network [OSTI]

    .................................................................................................................................... 323 II. SCIENCE OF EARTHQUAKE FORECASTING AND PREDICTION 325 A. Definitions and Concepts....................................................................................................................................... 325 B. Research on Earthquake PredictabilityOPERATIONAL EARTHQUAKE FORECASTING State of Knowledge and Guidelines for Utilization Report

  8. Knowledge Management Concepts For Training By Project An observation of the case of project management education

    E-Print Network [OSTI]

    Michel, Christine

    2009-01-01

    Project management education programmes are often proposed in higher education to give students competences in project planning (Gantt's chart), project organizing, human and technical resource management, quality control and also social competences (collaboration, communication), emotional ones (empathy, consideration of the other, humour, ethics), and organizational ones (leadership, political vision, and so on). This training is often given according a training-by-project type of learning with case studies. This article presents one course characterized by a pedagogical organization based upon Knowledge Management (KM) concepts: knowledge transfer and construction throughout a learning circle and social interactions. The course is supported by a rich and complex tutor organization. We have observed this course by using another KM method inspired from KADS with various return of experience formalized into cards and charts. Our intention is, according to the model of Argyris and Sch\\"on (Smith, 2001), to gai...

  9. Acquiring and Applying Contextualised Tacit Knowledge Debbie Richards and Peter Busch

    E-Print Network [OSTI]

    Richards, Debbie

    expert retires or leaves. This addresses two knowledge management challenges: utilisation and preservation of knowledge. 1. The Acquisition and Application of Knowledge and the Role of Context). It is interesting to observe that the term knowledge transfer is currently popular in the knowledge management (KM

  10. Expanding Professional Horizons

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    expands daily, by leaps and bounds - knowledge turnover must be accompanied by an infusion of new talent that both informs and is informed by existing, experienced staff. With...

  11. Prospective and Practicing Middle School Teachers' Knowledge of Curriculum for Teaching Simple Algebraic Equations 

    E-Print Network [OSTI]

    Ma, Tingting

    2012-11-28

    Knowledge of curriculum is a significant component of mathematical knowledge for teaching. However, clearly understanding knowledge of curriculum requires further refinement and substantial research. This study consists of three papers that aim...

  12. Knowledge and abilities catalog for nuclear power plant operators: boiling water reactors

    SciTech Connect (OSTI)

    Not Available

    1986-09-01

    The Knowledge and Abilities Catalog for Nuclear Power Plant Operators: Boiling-Water Reactors (BWR) (NUREG-1123) provides the basis for the development of content-valid licensing examinations for reactor operators (ROs) and senior reactor operators (SROs). The examinations developed using the BWR Catalog and Examiners' Handbook for Developing Operator Licensing Examinations (NUREG-1121) will cover those topics listed under Title 10, Code of Federal Regulations, Part 55. The BWR Catalog contains approximately 7000 knowledge and ability (K/A) statements for ROs and SROs at boiling water reactors. Each K/A statement has been rated for its importance to the safe operation of the plant in a manner ensuring personnel and public health and safety. The BWR K/A Catalog is organized into five major sections: Plant-wide Generic Knowledge and Ability Statements, Plant Systems grouped by Safety Function, Emergency and Abnormal Plant Evolutions, Components, and Theory. The BWR Catalog represents a modification of the form and content of the K/A Catalog for Nuclear Power Plant Operators: Pressurized Water Reactors (NUREG-1122). First, categories of knowledge and ability statements have been redefined. Second, the scope of the definition of emergency and abnormal plant evolutions has been revised in line with a symptom-based approach. Third, K/As related to the operational applications of theory have been incorporated into the delineations for both plant systems and emergency and abnormal plant evolutions, while K/As pertaining to theory fundamental to plant operation have been delineated in a separate theory section. Finally, the components section has been revised.

  13. "Violent Intent Modeling: Incorporating Cultural Knowledge into the Analytical Process

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.; Nibbs, Faith G.

    2007-08-24

    While culture has a significant effect on the appropriate interpretation of textual data, the incorporation of cultural considerations into data transformations has not been systematic. Recognizing that the successful prevention of terrorist activities could hinge on the knowledge of the subcultures, Anthropologist and DHS intern Faith Nibbs has been addressing the need to incorporate cultural knowledge into the analytical process. In this Brown Bag she will present how cultural ideology is being used to understand how the rhetoric of group leaders influences the likelihood of their constituents to engage in violent or radicalized behavior, and how violent intent modeling can benefit from understanding that process.

  14. Using Expert Knowledge in Solving the Seismic Inverse Problem ?

    E-Print Network [OSTI]

    Ward, Karen

    resources such as the oil in the Middle East. However, nowadays, most easy­to­access mineral resources have knowledge 1 Seismic Inverse Problem: Brief Introduction In evaluations of natural resources and in the search for natural resources, it is very important to determine Earth structure. Our civilization greatly

  15. Collaborative Knowledge Discovery & Marshalling for Intelligence & Security Applications

    SciTech Connect (OSTI)

    Cowell, Andrew J.; Jensen, Russell S.; Gregory, Michelle L.; Ellis, Peter C.; Fligg, Alan K.; McGrath, Liam R.; O'Hara, Kelly A.; Bell, Eric B.

    2010-05-24

    This paper discusses the Knowledge Encapsulation Framework, a flexible, extensible evidence-marshalling environment built upon a natural language processing pipeline and exposed to users via an open-source semantic wiki. We focus our discussion on applications of the framework to intelligence and security applications, specifically, an instantiation of the KEF environment for researching illicit trafficking in nuclear materials.

  16. Women in STEM: True Self-Knowledge and Achievement Motivation 

    E-Print Network [OSTI]

    Kavanaugh, Katherine Elizabeth

    2013-12-12

    In this study, I examined whether there is a relationship between true-self knowledge and motivation to remain in a STEM major among female STEM students. Specifically, I hypothesized that a greater understanding of one’s self in an undergraduate...

  17. Combining Inductive and Deductive Engines for Knowledge Management

    E-Print Network [OSTI]

    Fernandes, Alvaro A. A.

    constantly changing information needs. The life cycle of KIDM tasks must, therefore, be as short as possible KIDM life cycles is a vital competitiveness issue. One such situation is charac- terized when market technologies can underpin an architecture for distributed knowledge management in which higher throughput

  18. Building Visual Knowledge in a `Cinematic Hypertext' authoring environment

    E-Print Network [OSTI]

    Shipman, Frank

    1 Building Visual Knowledge in a `Cinematic Hypertext' authoring environment Clara Mancini them, the cinematic medium is the closest to hypertext and the analogy between cinema and hypertext in general1 has been pointed out in more than one occasion [3,7,8]. In particular, though, cinematic language

  19. Knowledge Media Institute Cognitive Coherence Relations and Hypertext

    E-Print Network [OSTI]

    Knowledge Media Institute Cognitive Coherence Relations and Hypertext: From Cinematic Coherence Relations and Hypertext: From Cinematic Patterns to Scholarly Discourse Clara Mancini and Simon-mail:{C.Mancini,S.Buckingham.Shum}@open.ac.uk ABSTRACT In previous work we argued that cinematic language may provide insights into the construction

  20. Knowledge to go places Language Centre English Test

    E-Print Network [OSTI]

    Zaroubi, Saleem

    Knowledge to go places Language Centre English Test Put your language skills to the test #12;www.rug.nl/languagecentrewww.rug.nl/languagecentre The Language Centre provides a test of language competence which can be used by students, prospective students abroad. The test covers all four skills: writing, reading, listening and speaking. The writing, reading

  1. Knowledge to go places Language Centre English Test

    E-Print Network [OSTI]

    Zaroubi, Saleem

    Knowledge to go places Language Centre English Test Put your language skills to the test Language.rug.nl/languagecentrewww.rug.nl/languagecentre The Language Centre provides a test of language competence which can be used by students, prospective students abroad. The test covers all four skills: writing, reading, listening and speaking. The writing, reading

  2. Process Transition Networks: A Formal Graphical Knowledge Representation Tool

    E-Print Network [OSTI]

    Process Transition Networks: A Formal Graphical Knowledge Representation Tool Jacek Malec \\Lambda@ida.liu.se Abstract A formal definition of Process Transition Networks (PTNs), recently introduced by Sande­ wall [San with Petri net theory. PTNs are first introduced informally, fol­ lowed by syntactic and semantic

  3. Automatic Multimedia Knowledge Discovery, Summarization and Evaluation Ana B. Benitez *

    E-Print Network [OSTI]

    Chang, Shih-Fu

    of Electrical Engineering Columbia University 1312 Mudd, #F6; 500 W. 120th St., MC 4712 New York, NY 10027, USA Phone: 1-212-854-7473 / Fax: 1-212-932-9421 ana@ee.columbia.edu Shih-Fu Chang Department of Electrical) or semantics (meaning of word "car") in the world so two different kinds of knowledge can be distinguished

  4. South Bay Salt Pond Restoration Project SYNTHESES OF SCIENTIFIC KNOWLEDGE

    E-Print Network [OSTI]

    South Bay Salt Pond Restoration Project SYNTHESES OF SCIENTIFIC KNOWLEDGE for Maintaining and Improving Functioning of the South Bay Ecosystem and Restoring Tidal Salt Marsh and Associated Habitats over) Maintaining and Improving Functioning of the South Bay Ecosystem and (2) Restoring tidal salt marsh

  5. How I do Knowledge Transfer Prof Peter Walker

    E-Print Network [OSTI]

    Burton, Geoffrey R.

    , providing air-tightness, and using low energy- consumption devices and renewable energy sources. However the industry's partial knowledge of the potential and benefits of renewable materials; the lack (formerly known as the Building Research Establishment) Delivering Renewable Materials for Low Energy

  6. Lesson Summary Pre/post assessment of student knowledge and

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    of that heat coming from the Solar energy. Also Solar radiation. 6. You've heard people talk about the word Knowledge & Skills Not applicable Science Benchmarks & Standards Not applicable Teaching Time: One 45-minute period Materials per Student · Copy of the assessment · Pencil/pen Advanced Planning Preparation Time: 20

  7. BOOK REVIEW Cold War Social Science: Knowledge Production,

    E-Print Network [OSTI]

    Solovey, Mark

    BOOK REVIEW Cold War Social Science: Knowledge Production, Liberal Democracy, and Human Nature institutionalism in economics to post- war neoclassicism, with its physics-like empha- sis on mathematical theory to such existing narrative frameworks by adopting cross-cutting lenses like the "Cold War" and the working

  8. Using Temporal Logics to Express Search Control Knowledge for Planning

    E-Print Network [OSTI]

    Kabanza, Froduald

    of hierarchical task network (HTN) planners have been stud- ied in the literature and utilized in planning systemsUsing Temporal Logics to Express Search Control Knowledge for Planning Fahiem Bacchus Dept kabanza@dmi.usherb.ca June 7, 1999 Abstract Over the years increasingly sophisticated planning algorithms

  9. Secure Database Commitments and Universal Arguments of Quasi Knowledge

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Secure Database Commitments and Universal Arguments of Quasi Knowledge Melissa Chase Microsoft@dia.unisa.it Abstract In this work we focus on a simple database commitment functionality where besides the standard) of the proposed functionality. The first result of this submission consists in defining "secure" database

  10. TOWARD GENERIC INTELLIGENT KNOWLEDGE EXTRACTION FROM VIDEO AND AUDIO

    E-Print Network [OSTI]

    analysis, knowledge extraction components, and metadata management sub-systems in the context of automated/environment planning, resource optimization, disabled/elderly person monitoring, ... 1 Introduction Advances in sensor techniques allowing the automatic extraction of relevant semantic metadata from raw multimedia, to explore

  11. Combining algorithms for deciding knowledge in security protocols #

    E-Print Network [OSTI]

    Doyen, Laurent

    protocols requires a precise un­ derstanding of the attacker knowledge. Two standard notions are usu­ ally â?? E and the ACI Jeunes Chercheurs JC9005. #12; completely unrealistic to require that the Boolean true and some standard bisimulation conditions. Both of these relations rel

  12. A Knowledge Mining Framework for Business Analysts Themis Palpanas

    E-Print Network [OSTI]

    Palpanas, Themis

    A Knowledge Mining Framework for Business Analysts Themis Palpanas University of Trento themis@disi.unitn.eu Abstract--Several studies have focused on problems related to data mining techniques, including several applications of these techniques in the e-commerce setting. In this work, we describe how data mining

  13. Two Ways to Common Knowledge Samuel Bucheli1,2

    E-Print Network [OSTI]

    Jäger, Gerhard

    M4M 2009 Two Ways to Common Knowledge Samuel Bucheli1,2 Roman Kuznets1,2 Thomas Studer2 Institut f Science Foundation grant 200021­117699. 2 Emails: {bucheli, kuznets, tstuder}@iam.unibe.ch This paper.elsevier.com/locate/entcs #12;Bucheli, Kuznets and Studer the infinitary conjunction everybody knows A and everybody knows

  14. Justifications for Common Knowledge Samuel Bucheli --Roman Kuznets --Thomas Studer

    E-Print Network [OSTI]

    Jäger, Gerhard

    - Justifications for Common Knowledge Samuel Bucheli -- Roman Kuznets -- Thomas Studer Institut für) {bucheli, kuznets, tstuder}@iam.unibe.ch ABSTRACT. Justification logics are epistemic logics., 2009) and to study self-referential proofs (Kuznets, 2010). Instead of statements A is known, denoted A

  15. Knowledge protection and partner selection in R&D alliances 

    E-Print Network [OSTI]

    Li, Dan

    2006-10-30

    This dissertation investigates three sets of research questions. First, how can partner selection be used as a mechanism to minimize R&D alliance participants� concerns about knowledge leakage? And what is the nature of the relationship among...

  16. INTRODUCING ASK, A SIMPLE KNOWLEDGEABLE SYSTEM Bozenn H. Thompson

    E-Print Network [OSTI]

    Inatitnce of Technology Pasadena, California 91125 ABSTRACT ASK, ~ ~imple Knowledgeable System, is a total in the sense thaC its development concentrated on clean engineering solutions to what could be done now is Boston. London has been replaced by Boston as the home port of Maru. >The cargo of Maru is coal. coal has

  17. Change of Paradigm in KM Towards Collaborative Knowledge

    E-Print Network [OSTI]

    Kuhlen, Rainer

    Chair in Communications Department of Computer & Information Science University of Konstanz, Germany as a means of having better control over the production and usage of explicit and implicit knowledge. ·Human Genome project - A 13-year effort coordinated by the U.S. Department of Energy and the National

  18. RANDOMIZING THE KNOWLEDGE ACQUISITION BOTTLENECK Stuart H. Rubin

    E-Print Network [OSTI]

    Trajkovic, Ljiljana

    applications. For example, the medical rule, IF the patient is coughing THEN prescribe cough syrup; is usually true. However, an expert medical system having this limited medical knowledge would prescribe cough specific rule: IF the patient is coughing AND the patient was just eating THEN apply Dr. Heimlich

  19. Knowledge Infrastructure for the Fifth Freedom in the

    E-Print Network [OSTI]

    Elmroth, Erik

    #12;#12;Knowledge Infrastructure for the Fifth Freedom in the Baltic Sea Area Erik Elmroth Area TemaNord 2010:516 © Nordic Council of Ministers, Copenhagen 2010 ISBN 978-92-893-2020-7 Print, and three autonomous areas: the Faroe Islands, Green- land, and Åland. Nordic cooperation has firm

  20. Sharing Distributed Knowledge on the Web Serge Abiteboul

    E-Print Network [OSTI]

    Doyen, Laurent

    systems collaborating to support certain tasks. We describe ongoing works concerned with the foundations of knowledge (replication policy, trust in others, beliefs, etc.). The information resides on many devices (Facebook, Picasa, etc.) as well as in the "data rings" [5] of family members, friends, associations

  1. Sharing tacit design knowledge in a distributed design environment 

    E-Print Network [OSTI]

    Woo, Jeong-Han

    2006-10-30

    , and professional insight formed as a result of experience. Due to its implicit nature, tacit design knowledge is typically shared only among colleagues who work in the same office through face-toface interactions. With emerging Computer-Mediated Communication (CMC...

  2. Prior knowledge in economic applications of data mining

    E-Print Network [OSTI]

    Feelders, Ad

    -monotonic counterparts. 1 Introduction The estimation of economic relationships from empirical data is studied and explanatory variables. Economic theory would state that people tend to buy less of a product if its pricePrior knowledge in economic applications of data mining A.J. Feelders Tilburg University Faculty

  3. Important Cognitive Components of Domain-Specific Search Knowledge

    E-Print Network [OSTI]

    Bhavnani, Suresh K.

    the subject-specific terms to enter in a query. For example, many university students often buy electronicImportant Cognitive Components of Domain-Specific Search Knowledge Suresh K. Bhavnani School Many users have acquired a sophisticated understanding of searching the Web in specific domains

  4. ISI Web of Knowledge Service for UK Education

    E-Print Network [OSTI]

    Wallace, Mark

    you've selected. Enter individual search terms or phrases separated by search operators such as AND or OR. Use the wildcards if required. If you enter terms in multiple fields, ISI Web of Knowledge. Via this you can select individual products to search or search multiple database products

  5. Visualizing Conceptual Relationships in a Distributed Knowledge Sharing Environment

    E-Print Network [OSTI]

    Klippel, Alexander

    and Mark Gahegan GeoVISTA Center Department of Geography Pennsylvania State University University Park, PA 16802 wpike@psu.edu, mng1@psu.edu Introduction Throughout geography, recent attention has been paid resources. This model is implemented in a Web environment for visual knowledge construction. Motivation

  6. Digital Libraries, Conceptual Knowledge Systems, and the Nebula Interface

    E-Print Network [OSTI]

    Kent, Robert E

    2011-01-01

    Concept Analysis provides a principled approach to effective management of wide area information systems, such as the Nebula File System and Interface. This not only offers evidence to support the assertion that a digital library is a bounded collection of incommensurate information sources in a logical space, but also sheds light on techniques for collaboration through coordinated access to the shared organization of knowledge.

  7. CONTENT KNOWLEDGE (Declarative Knowledge): Graduates in Geography will understand basic concepts and theories in the spatial analysis of humanenvironmental systems as emphasized in the

    E-Print Network [OSTI]

    Fernandez, Eduardo

    CONTENT KNOWLEDGE (Declarative Knowledge): Graduates in Geography will understand basic concepts: physical environment of South Florida, cultural landscape, water resources, coastal hazards, environmental together many of the techniques, methods, theories and pertinent literature of the discipline of geography

  8. Knowledge Network: An Information Repository with Services for Managing Concurrent Engineering Design

    E-Print Network [OSTI]

    Fox, Mark S.

    Knowledge Network: An Information Repository with Services for Managing Concurrent Engineering design engineers. The KAD system centers on a knowledge network that stores design knowledge and provides are constructing a Knowledge Aided Design (KAD) system for supporting concurrent engineering design and enhancing

  9. A First Experimental Demonstration of Massive Knowledge Infusion Loizos Michael and Leslie G. Valiant

    E-Print Network [OSTI]

    Valiant, Leslie

    A First Experimental Demonstration of Massive Knowledge Infusion Loizos Michael and Leslie G situations. Knowledge Infusion is an approach to this problem in which the commonsense knowledge is acquired that chain- ing the learned rules is efficacious for reasoning. Introduction Knowledge Infusion

  10. Click here for How to Use this PDF... AcqKnowledge Software Guide

    E-Print Network [OSTI]

    Click here for How to Use this PDF... AcqKnowledge Software Guide For Life Science Research ® (Windows 98/98SE/2000/ME/XP) #12;2 AcqKnowledge Software Guide AcqKnowledge Software Guide Reference Manual Version 3.7.5 for MP Hardware/Firmware and AcqKnowledge ® Software Versions Macintosh®, PowerMac® Windows

  11. New Techniques and Technologies for Information Retrieval and Knowledge Extraction from Nuclear Fusion Massive Databases

    E-Print Network [OSTI]

    New Techniques and Technologies for Information Retrieval and Knowledge Extraction from Nuclear Fusion Massive Databases

  12. AREC 2021 STRATEGIC PLAN Discover new economic knowledge through applied economic research and impart that knowledge to

    E-Print Network [OSTI]

    Fay, Noah

    AREC 2021 STRATEGIC PLAN PURPOSE · Discover new economic knowledge through applied economic Strategic Plan, 2 reallocation of efforts between teaching and research. Greater benefits to CALS goals can be realized. #12;AREC 2012 Strategic Plan, 3 STRATEGIC GOAL ONE PROVIDE AN OUTSTANDING

  13. THE INTEGRATON OF GRAPH-BASED KNOWLEDGE DISCOVERY WITH IMAGE SEGMENTATION HIERARCHIES FOR DATA ANALYSIS,

    E-Print Network [OSTI]

    Cook, Diane J.

    is a hybrid of hierarchical step-wise optimization (HSWO) and constrained spectral clustering that produces a hierarchical set of image segmentations. HSWO is an iterative approach to region growing segmentation in which]. HSWO produces hierarchical segmentations that are useful in many applications. However

  14. A CaseBased Approach to Knowledge Acquisition for DomainSpecific Sentence Analysis

    E-Print Network [OSTI]

    Cardie, Claire

    that a murder took place and the perpetrators of the crime were ``terrorists.'' This is not the case for sentence 2 --- the verb ``killed'' appears, but no murder has

  15. Incorporating on-line process data into a diagnostic knowledge-based system 

    E-Print Network [OSTI]

    Lin, Kai Hsuan

    1994-01-01

    The objective of this research was to develop and implement an on-line gypsum wallboard manufacturing expert system incorporating on-line process monitoring information and statistical process control. In support of this objective, several sub...

  16. Environmental Protection in a Knowledge-Based Economy Charles D. Kolstad1

    E-Print Network [OSTI]

    Kolstad, Charles

    to reduce greenhouse gases than natural gas-reliant countries, all other things being equal. A second issue for environmental goods and services or to price these goods and services. For instance, urban pollution would, location and nature of the emission. Similarly, power plants would pay time of day emission fees

  17. LEARNING TRANSLATION SKILLS WITH A KNOWLEDGE-BASED TUTOR: FRENCH-ITALIAN CONJUNCTIONS IN CONTEXT

    E-Print Network [OSTI]

    Stefano A. Cerri Dipartimento di Infomnatica, Universit~ di Pisa 56100 Pisa, Italy Marie-France Merger Dipartimento di Lingue e Letterature Romanze, Universit~ di Pisa 56100 Pisa, Italy ABSTRACT This pape is the result of a joint effort of the University of Pisa (I~ and the Uni- versity of Amsterdam (NL~ and its

  18. Metered Data Analysis and Knowledge Based Methods that Reduce HVAC Operation and Maintenance Problems 

    E-Print Network [OSTI]

    Haberl, J. S.; Smith, L.; Kreider, J. F.

    1988-01-01

    in the - - Purdue university, Weet Lafayette, Indiana. Chester, D., Lamb, D., Dhurjati, P. 1984. "An expert evetem aDDr0ach to on-line alarm analysis in pbwer aii process plante." ~om~uthre in En ineering - 1984, American Society of ~ecghanical mglneere, New...

  19. A Dredging Knowledge-Base Expert System for Pipeline Dredges with Comparison to Field Data 

    E-Print Network [OSTI]

    Wilson, Derek Alan

    2011-02-22

    . . . . . . . . . . . . . . . . . . . 21 B. Dredge Pump Cavitation . . . . . . . . . . . . . . . . . . . 24 C. Pumps in Series . . . . . . . . . . . . . . . . . . . . . . . . 27 D. Pump Performance Metrics . . . . . . . . . . . . . . . . . 28 E. Pipeline Hydraulics Summary...

  20. CTSHIV: A KnowledgeBased System For the Management of HIVinfected Patients

    E-Print Network [OSTI]

    Pazzani, Michael J.

    See Ranjit Iyer Edison Schroeder Jeremiah Tilles Department of Information & Computer Science) that recommends an in­ dividualized treatment strategy for HIV patients is de­ scribed. Since the HIV virus has developed. By monitoring the HIV virus of the patient, the treatment strategy can be switched

  1. Assessing Knowledge Based on the Geriatric Competencies for Emergency Medicine Residents

    E-Print Network [OSTI]

    Hogan, Teresita M; Hansoti, Bhakti; Chan, Shu B.

    2014-01-01

    Impact and Implications. ACEP, efficacious therapies? Theof Emergency Physicians (ACEP) has called for members to “efforts by groups such ACEP, as well as the American

  2. Machine Learning Research Group Working Paper 912 Refining Algorithms with KnowledgeBased Neural Networks

    E-Print Network [OSTI]

    Liblit, Ben

    Networks: Improving the Chou­Fasman Algorithm for Protein Folding * Richard Maclin Jude W. Shavlik Computer­Fasman algorithm, a method for predicting how globular proteins fold. The Chou­Fasman algorithm cannot be elegantly and discuss the need for better definitions of solution quality for the protein­folding problem. 1

  3. SUPPORTING DOMAIN SPECIFIC WEB-BASED SEARCH USING HEURISTIC KNOWLEDGE EXTRACTION 

    E-Print Network [OSTI]

    Gunanathan, Sudharsan

    2010-01-16

    Modern search engines like Google support domain-independent search over the vast information contained in web documents. However domain-specific information access, such as finding less well-known people, locations, and ...

  4. Commonsense knowledge bases and network analysis Tanya Berger-Wolf and Dimitrios I. Diochnos

    E-Print Network [OSTI]

    Pluhár, András

    A and Causes (Havasi, Speer, and Alonso 2007; Havasi et al. 2009). Its data was initially collected via the web of a condensed version of the matrix, called AnalogySpace, are also available (Speer, Havasi, and Lieberman 2008

  5. Assumption-Based Planning: Generating Plans and Explanations under Incomplete Knowledge

    E-Print Network [OSTI]

    McIlraith, Sheila

    ) it captures a compelling form of commonsense planning, and 2) it is of great utility in the generation the utility of this new planning paradigm. Introduction Many real-world planning problems provide limited) it is of great utility for tasks that share a computational core with planning, such as explanation generation (e

  6. Adapting ADA Architectural Design Knowledge to Product Design: Groundwork for a Function Based Approach 

    E-Print Network [OSTI]

    Sangelkar, Shraddha Chandrakant

    2011-10-21

    , generate user activity and product function association rules that can be applied to the universal design of products. Proposed research activities are to identify thirty existing universal products and compare with its typical version to identify... promise in using the International Classification of Functioning, Disability and Health (ICF) lexicon to model user limitation. The actionfunction diagram provides a structured way to approach a problem in the early stage of design. The rules generated...

  7. Statistical channel knowledge-based optimum power allocation for relaying protocols in the high SNR regime

    E-Print Network [OSTI]

    Annavajjala, R.; Cosman, P. C.; Milstein, L. B.

    2007-01-01

    with optimal power allocation as a function of ? = ? 2 /?optimal power allocation is plotted as a function of ? infunctions of the transmit power vector, and the optimal power allocation

  8. Text-mining applied to autoimmune disease research: the Sjögren¿s syndrome knowledge base

    E-Print Network [OSTI]

    Gorr, Sven-Ulrik; Wennblom, Trevor J; Horvath, Steve; Wong, David TW; Michie, Sara A

    2012-01-01

    as: Gorr et al. : Text-mining applied to autoimmune diseaseARTICLE Open Access Text-mining applied to autoimmunein the field, we used text mining to generate the Sjögren’s

  9. Human-Readable and Machine-Readable Knowledge Bases Using Specialized Word Processors

    E-Print Network [OSTI]

    Molina, Martín

    mmolina@fi.upm.es Gemma Blasco EADS CASA European Aeronautic Defence and Space Company - Construcciones

  10. XML-Tage 2006 A KNOWLEDGE BASE ON NP-COMPLETE DECISION

    E-Print Network [OSTI]

    Niedermeier, Rolf

    of more than 350 decision problems including additional information resources such as bibli- ographic

  11. From Knowledge Bases to Markov Models to PCA Bruce A. Draper

    E-Print Network [OSTI]

    Draper, Bruce A.

    composed of multiple, anatomically distinct pathways. It hypothesizes that artificial vision systems should of control in computer vision is necessitated by the simple observation that few if any significant vision or recurrently, to create an effective and efficient vision system. What makes control in computer vision more

  12. International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems c World Scientific Publishing Company

    E-Print Network [OSTI]

    Kreinovich, Vladik

    \\Gamma n Ÿ w 1 +: : :+wn = 1 Ÿ w + 1 +: : :+w + n = W + . Thus, the given intervals must satisfy of intervals w i ` [0; 1], 1 Ÿ i Ÿ n, into a sequence of exactly as many real values w i 2 w i : (w 1 necessary to divide a certain amount of money between n participants, i.e., to assign, to each participant

  13. Sampling-Based Motion Planning Using Uncertain Knowledge Technical Report 06-30

    E-Print Network [OSTI]

    : that the world is perfectly known, can be removed. We propose a predictive roadmap planner that incorporates. Experimental results in several domains indicate that the predictive roadmap is adept at planning despite sensors. In this work we focus on this final assumption. We propose a novel, predictive roadmap planning

  14. Measuring, monitoring, and assessing software process using PAMPA 2.0 knowledge-based system 

    E-Print Network [OSTI]

    Jung, Jin Hwan

    2005-08-29

    traceability tool. Replaces RTM IRqA TCP Sistemas e Ingenieria Integral Requisite Analyzer. A requirements management tool, but also a requirements analysis environment, that includes facilities to support problem domain modeling and automatic domain...

  15. A knowledge-based control paradigm for real-time systems 

    E-Print Network [OSTI]

    Painter, John H.; Lin, S.K.; Glass, E.

    1988-08-24

    passing using a mailbox facility. The particular target application considered is a software-intensive radio, which is envisioned as being digitally implemented. Symbolic processing is used to internally control the radio down to the module level. Testing...

  16. A KNOWLEDGE BASED SYSTEM FOR PROVIDING INTELLIGENT ACCESS TO A PETROLEUM USER DATABASE

    E-Print Network [OSTI]

    Rosenberg, Steven

    2011-01-01

    INTELLIGENT ACCESS TO A PETROLEUM USER DATABASE StevenINTELLIGENT ACCESS TO A PETROLEUM USER DATABASE StevenINTELLIGENT ACCESS TO A PETROLEUM USER DATABASE Steven

  17. Hyper-incursion and the Globalization of the Knowledge-Based Economy

    E-Print Network [OSTI]

    Leydesdorff, Loet

    2009-01-01

    In biological systems, the capacity of anticipation--that is, entertaining a model of the system within the system--can be considered as naturally given. Human languages enable psychological systems to construct and exchange mental models of themselves and their environments reflexively, that is, provide meaning to the events. At the level of the social system expectations can further be codified. When these codifications are functionally differentiated--like between market mechanisms and scientific research programs--the potential asynchronicity in the update among the subsystems provides room for a second anticipatory mechanism at the level of the transversal information exchange among differently codified meaning-processing subsystems. Interactions between the two different anticipatory mechanisms (the transversal one and the one along the time axis in each subsystem) may lead to co-evolutions and stabilization of expectations along trajectories. This recursive incursion on the incursive dynamics of expect...

  18. International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems c World Scientific Publishing Company

    E-Print Network [OSTI]

    Kreinovich, Vladik

    Publishing Company INTERVAL­VALUED DEGREES OF BELIEF: APPLICATIONS OF INTERVAL COMPUTATIONS TO EXPERT SYSTEMS doctors successfully cure diseases; expert geologists find oil; expert astronauts know how to dock the experts in the field, there are a few top experts whose deci­ sions turn out to be the most efficient

  19. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems fc World Scientific Publishing Company

    E-Print Network [OSTI]

    Kreinovich, Vladik

    Publishing Company INTERVAL-VALUED DEGREES OF BELIEF: APPLICATIONS OF INTERVAL COMPUTATIONS TO EXPERT SYSTEMS successfully cure diseases; expert geologists find oil; expert astronauts know how to dock and land the Space in the field, there are a few top experts whose deci- sions turn out to be the most efficient. Since

  20. A KNOWLEDGE BASED SYSTEM FOR PROVIDING INTELLIGENT ACCESS TO A PETROLEUM USER DATABASE

    E-Print Network [OSTI]

    Rosenberg, Steven

    2011-01-01

    Thus, we might ask about oil consumption in New England lastmuch one oil is available for shipment or consumption at atime. consumption slot represents how much oil is locally

  1. A Validation Tool for the W3C SSN Ontology Based Sensory Semantic Knowledge

    E-Print Network [OSTI]

    Barnaghi, Payam M.

    in diverse application domains such as factory optimisation, transport, smart homes and smart cities

  2. Knowledge-Intensive Case-Based Support for Automated Explanation of Biological

    E-Print Network [OSTI]

    Aamodt, Agnar

    , automated production of massive amounts of data has been far easier than integrated and automated analysis. Bioinformatics has recently merged with other disciplines to the highly integrative field of Systems Biology [12 systems. Much effort has recently been invested into building systems that would in- tegrate diverse

  3. Viewing the Web as a Distributed Knowledge Base Serge Abiteboul 1,2

    E-Print Network [OSTI]

    Doyen, Laurent

    to more information from family, friends, associations, companies, and organizations. Today, the control similar issues, companies see the cost of managing and integrating information skyrocketing. We research. · Uncertainty. A critical dimension of the problem is the imprecise, uncertain, and noisy nature

  4. KNOWLEDGE-BASED PROCESS MANAGEMENT TO POPULATE DATABASES WITH 3D MULTI-REPRESENTATION OF BUILDINGS

    E-Print Network [OSTI]

    extraction automation (through parametric models) while facilitating the extraction of simplified geometries on demand" applications or SOLAP (Spatial On-Line Analytical Processing) applications. Thus, 3D-MRDB (3D. Besides, creating a unique 3D-MRDB to derive different cartographic products is an interesting avenue

  5. A Knowledge-Based Approach for Automatic Generation of Summaries of Behavior

    E-Print Network [OSTI]

    Molina, Martín

    systems are: a road traffic network, the refrigeration system of a nuclear plant, a river basin, etc. In this context, physical properties of dynamic systems provide specific criteria to formulate more specific engineering methodologies [2], we have designed a method conceived with a set of general inference steps

  6. Soybean Knowledge Base (SoyKB): a Web Resource for Soybean Translational

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail. (Conference)Feedback System in the CERNimmobilizeReport)Aluminate

  7. Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. Holdings include datasets, models, and maps. [from https://www.bioenergykdf.net/content/about

  8. Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and data uploads from individuals.

  9. Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and individuals' data uploads.

  10. Biofuel Production Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps and the collections arel growing due to both DOE contributions and data uploads from individuals.

  11. Encapsulating the meta-level knowledge in distributed artificial intelligence 

    E-Print Network [OSTI]

    Underbrink, Alvin Joseph

    1988-01-01

    ENCAPSULATING THE META-LEVEL KNOWLEDGE IN DISTRIBUTED ARTIFICIAL INTELLIGENCE A Thesis by ALVIN JOSEPH UNDERBRINK, JR. Submitted to the Graduate College of Texas AgcM University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE December 1988 Major Subject: Computer Science EN CAP SULATING THE META-LEVEL KNOWLED GE IN DISTRIBUTED ARTIFICIAL INTELLIGENCE A Thesis by ALVIN JOSEPH UNDERBRINK, JR. Approved as to style and content by: &K &, ~ eni'- Donald...

  12. Improving Cyber-Security of Smart Grid Systems via Anomaly Detection and Linguistic Domain Knowledge

    SciTech Connect (OSTI)

    Ondrej Linda; Todd Vollmer; Milos Manic

    2012-08-01

    The planned large scale deployment of smart grid network devices will generate a large amount of information exchanged over various types of communication networks. The implementation of these critical systems will require appropriate cyber-security measures. A network anomaly detection solution is considered in this work. In common network architectures multiple communications streams are simultaneously present, making it difficult to build an anomaly detection solution for the entire system. In addition, common anomaly detection algorithms require specification of a sensitivity threshold, which inevitably leads to a tradeoff between false positives and false negatives rates. In order to alleviate these issues, this paper proposes a novel anomaly detection architecture. The designed system applies the previously developed network security cyber-sensor method to individual selected communication streams allowing for learning accurate normal network behavior models. Furthermore, the developed system dynamically adjusts the sensitivity threshold of each anomaly detection algorithm based on domain knowledge about the specific network system. It is proposed to model this domain knowledge using Interval Type-2 Fuzzy Logic rules, which linguistically describe the relationship between various features of the network communication and the possibility of a cyber attack. The proposed method was tested on experimental smart grid system demonstrating enhanced cyber-security.

  13. Listeriosis Prevention Knowledge Among Pregnant Women in the USA

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Ogunmodede, Folashade; Jones, Jeffery L.; Scheftel, Joni; Kirkland, Elizabeth; Schulkin, Jay; Lynfield, Ruth

    2005-01-01

    Background: Listeriosis is a food-borne disease often associated with ready-to-eat foods. It usually causes mild febrile gastrointestinal illness in immunocompetent persons. In pregnant women, it may cause more severe infection and often crosses the placenta to infect the fetus, resulting in miscarriage, fetal death or neonatal morbidity. Simple precautions during pregnancy can prevent listeriosis. However, many women are unaware of these precautions and listeriosis education is often omitted from prenatal care. Methods: Volunteer pregnant women were recruited to complete a questionnaire to assess their knowledge of listeriosis and its prevention, in two separate studies. One study wasmore »a national survey of 403 women from throughout the USA, and the other survey was limited to 286 Minnesota residents. Results: In the multi-state survey, 74 of 403 respondents (18%) had some knowledge of listeriosis, compared with 43 of 286 (15%) respondents to the Minnesota survey. The majority of respondents reported hearing about listeriosis from a medical professional. In the multi-state survey, 33% of respondents knew listeriosis could be prevented by not eating delicatessen meats, compared with 17% in the Minnesota survey ( p = 0.01). Similarly, 31% of respondents to the multi-state survey compared with 19% of Minnesota survey respondents knew listeriosis could be prevented by avoiding unpasteurized dairy products (p = 0.05). As for preventive behaviors, 18% of US and 23% of Minnesota respondents reported avoiding delicatessen meats and ready-to-eat foods during pregnancy, whereas 86% and 88%, respectively, avoided unpasteurized dairy products. Conclusions: Most pregnant women have limited knowledge of listeriosis prevention. Even though most respondents avoided eating unpasteurized dairy products, they were unaware of the risk associated with ready-to-eat foods. Improved education of pregnant women regarding the risk and sources of listeriosis in pregnancy is needed. « less

  14. Design and modeling of carbon nanotube-based compliant mechanisms

    E-Print Network [OSTI]

    DiBiasio, Christopher M. (Christopher Michael)

    2007-01-01

    The objective of this research is to generate the knowledge required to adapt macro- and microscale compliant mechanism theory to design carbon nanotube-based nano-scale compliant mechanisms. Molecular simulations of a ...

  15. Understanding Teachers' Experiences Implementing Project-Based Learning 

    E-Print Network [OSTI]

    Powers, Scott Kenneth

    2014-07-11

    Project-based learning (PBL) is a constructivist approach to instruction in which students are challenged to address a problem without sufficient knowledge at the outset to solve the problem. PBL models generally include ...

  16. Advanced Knowledge Technologies at the Midterm: Tools and Methods for the Semantic Web 

    E-Print Network [OSTI]

    Shadbolt, N; Ciravegna, F; Domingue, J; Hall, W; Motta, E; O'Hara, K; Robertson, D; Sleeman, D; Tate, Austin; Wilks, Y

    2004-01-01

    In a celebrated essay on the new electronic media, Marshall McLuhan wrote in 1962:...Our private senses are not closed systems but are endlessly translated into each other in that experience which we call consciousness. Our extended senses, tools, technologies, through the ages, have been closed systems incapable of interplay or collective awareness. Now, in the electric age, the very instantaneous nature of co-existence among our technological instruments has created a crisis quite new in human history. Our extended faculties and senses now constitute a single field of experience which demands that they become collectively conscious. Our technologies, like our private senses, now demand an interplay and ratio that makes rational co-existence possible. As long as our technologies were as slow as the wheel or the alphabet or money, the fact that they were separate, closed systems was socially and psychically supportable. This is not true now when sight and sound and movement are simultaneous and global in extent. (McLuhan 1962, p.5, emphasis in original)...Over forty years later, the seamless interplay that McLuhan demanded between our technologies is still barely visible. McLuhan’s predictions of the spread, and increased importance, of electronic media have of course been borne out, and the worlds of business, science and knowledge storage and transfer have been revolutionised. Yet the integration of electronic systems as open systems remains in its infancy....Advanced Knowledge Technologies (AKT) aims to address this problem, to create a view of knowledge and its management across its lifecycle, to research and create the services and technologies that such unification will require. Half way through its sixyear span, the results are beginning to come through, and this paper will explore some of the services, technologies and methodologies that have been developed. We hope to give a sense in this paper of the potential for the next three years, to discuss the insights and lessons learnt in the first phase of the project, to articulate the challenges and issues that remain....The WWW provided the original context that made the AKT approach to knowledge management (KM) possible. AKT was initially proposed in 1999, it brought together an interdisciplinary consortium with the technological breadth and complementarity to create the conditions for a unified approach to knowledge across its lifecycle. The combination of this expertise, and the time and space afforded the consortium by the IRC structure, suggested the opportunity for a concerted effort to develop an approach to advanced knowledge technologies, based on the WWW as a basic infrastructure....The technological context of AKT altered for the better in the short period between the development of the proposal and the beginning of the project itself with the development of the semantic web (SW), which foresaw much more intelligent...The SW, as an extension of the WWW, provides an interesting set of constraints to the knowledge management services AKT tries to provide. As a medium for the semantically-informed coordination of information, it has suggested a number of ways in which the objectives of AKT can be achieved, most obviously through the provision of knowledge management services delivered over the web as opposed to the creation and provision of technologies to manage knowledge....AKT is working on the assumption that many web services will be developed and provided for users. The KM problem in the near future will be one of deciding which services are needed and of coordinating them. Many of these services will be largely or entirely legacies of the WWW, and so the capabilities of the services will vary. As well as providing useful KM services in their own right, AKT will be aiming to exploit this opportunity, by reasoning over services, brokering between them, and providing essential meta-services for SW knowledge service management....Ontologies will be a crucial tool for the SW. The AKT consortium brings a lot of expertise on ontologies together, and o

  17. The Oil and Natural Gas Knowledge Management Database from NETL

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Knowledge Management Database (KMD) Portal provides four options for searching the documents and data that NETL-managed oil and gas research has produced over the years for DOE’s Office of Fossil Energy. Information includes R&D carried out under both historical and ongoing DOE oil and gas research and development (R&D). The Document Repository, the CD/DVD Library, the Project Summaries from 1990 to the present, and the Oil and Natural Gas Program Reference Shelf provide a wide range of flexibility and coverage.

  18. Soil Mapping Using GIS, Expert Knowledge, and Fuzzy Logic A. X. Zhu*, B. Hudson, J. Burt, K. Lubich, and D. Simonson

    E-Print Network [OSTI]

    Zhu, A-Xing

    Soil Mapping Using GIS, Expert Knowledge, and Fuzzy Logic A. X. Zhu*, B. Hudson, J. Burt, K. Lubich in conventional soil surveys.based fuzzy soil inference scheme (soil-land inference model, SoLIM) is described employing a similarity representation of soils, (ii) a set of (1996), and Zhu et al. (1997) have proposed

  19. Technology, Knowledge, Culture, and Management: the keys The shift from industrial societies to information societies

    E-Print Network [OSTI]

    Kopec, Danny

    Technology, Knowledge, Culture, and Management: the keys to success Abstract The shift from to success: technology, knowledge, culture and management. Organizations employ technology with the goal of improving efficiency and reducing operational costs. Hence technology structures within organizations must

  20. The Amelia Bedelia effect: World knowledge and the goal bias in language acquisition

    E-Print Network [OSTI]

    Srinivasan, Mahesh; Barner, David

    2013-01-01

    2 Thus, if learners lack rele- vant world knowledge – e.g. ,that merely acquiring rele- vant world knowledge is not suf?be easily recognized as rele- vant to the sentence. Future

  1. Demonstrating the benefits of knowledge management assets : developing and applying a valuation methodology

    E-Print Network [OSTI]

    Taylor, Aaron B

    2006-01-01

    Since the early 1980s numerous knowledge-dependent organizations have made diligent attempts to measure their intangible assets. In more recent years, knowledge-dependent organizations have expressed a desire to demonstrate ...

  2. REPUTATIONS FOR TOUGHNESS IN PATENT ENFORCEMENT: IMPLICATIONS FOR KNOWLEDGE SPILLOVERS VIA INVENTOR MOBILITY

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    REPUTATIONS FOR TOUGHNESS IN PATENT ENFORCEMENT: IMPLICATIONS FOR KNOWLEDGE SPILLOVERS VIA INVENTOR, Intangible Assets, Patents, Knowledge Spillovers, Employee Mobility University of Singapore patent database, and Bhavan Sampat for input and advice on examiner- added cites. We

  3. Implementation Planning for the Introduction of Knowledge Management in an Aerospace Engineering Organization

    E-Print Network [OSTI]

    Hughes, Neil

    2013-05-17

    The availability of information within an aerospace organization is required for engineers to perform activities. As information is considered, it’s the experience of the engineer that allows information to become knowledge for use. Knowledge...

  4. RRMcDaniel, Jr. Spring 2013 Information & Knowledge Management MIS 381N.7

    E-Print Network [OSTI]

    Ghosh, Joydeep

    & Knowledge Management MIS 381N.7 2 3. Davenport, Thomas H. (2005). Thinking for a Living. Boston: Harvard

  5. Neurocomputing 38}40 (2001) 1633}1641 Towards a federated neuroscienti"c knowledge management

    E-Print Network [OSTI]

    Ludäscher, Bertram

    2001-01-01

    LudaK scher , Amarnath Gupta , Rolf KoK tter Knowledge Mechanics Research Group, USC, Los Angeles, USA

  6. Transforming big data into knowledge : experimental techniques in dynamic visualization

    E-Print Network [OSTI]

    Kennedy, Stephen James, M.C.P. Massachusetts Institute of Technology

    2012-01-01

    Information visualizations, especially those utilizing web-based platforms, are becoming an increasingly common medium for exchanging ideas. This emergent class of tools enabling web-based, interactive platforms for ...

  7. Biofuel Enduse Datasets from the Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individualsÆ data uploads. Currently the Biofuel Enduse collection includes 133 items. Most of these are categorized as literature, but 36 are listed as datasets and ten as models.

  8. Extracting knowledge from data originated in web sites Juan D. Velsquez 2005

    E-Print Network [OSTI]

    Baeza-Yates, Ricardo

    Extracting knowledge from data originated in web sites Juan D. Velásquez © 2005 1 Web mining Extracting knowledge from data originated in web sites Juan D. VelJuan D. Veláásquez Silvasquez Silva knowledge from data originated in web sites Juan D. Velásquez © 2005 2 Outline 1. Motivation. 2. Web

  9. KDDML: a middleware language and system for knowledge discovery in databases

    E-Print Network [OSTI]

    Ruggieri, Salvatore

    KDDML: a middleware language and system for knowledge discovery in databases Andrea Romei Salvatore can be easily plugged in the system. Key words: Knowledge Discovery in Databases, Data Mining, Query Languages 1 Introduction Knowledge discovery in databases (KDD) [10] covers a wide range of applica- tive

  10. A PLATFORM DEDICATED TO KNOWLEDGE ENGINEERING FOR THE DEVELOPMENT OF IMAGE PROCESSING APPLICATIONS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A PLATFORM DEDICATED TO KNOWLEDGE ENGINEERING FOR THE DEVELOPMENT OF IMAGE PROCESSING APPLICATIONS.Revenu}@greyc.ensicaen.fr Keywords: Image processing, application formulation, knowledge engineering, ontology Abstract: In this paper, we propose a platform dedicated to the knowledge extraction and management for image pro- cessing

  11. Building the Right System Right Evaluating V&V Methods in Knowledge Engineering

    E-Print Network [OSTI]

    Preece, Alun

    Building the Right System Right Evaluating V&V Methods in Knowledge Engineering Alun Preece and validation (V&V) techniques are an essential part of the knowledge engineering process, because they offer. Without such a study, it is argued that knowledge engineering will remain very much an art. The Art

  12. Faculty of Engineering and Natural Sciences Knowledge Representation and Automated Reasoning

    E-Print Network [OSTI]

    Gozuacik, Devrim

    Faculty of Engineering and Natural Sciences AI Day on Knowledge Representation and Automated representations of knowledge manipulated by reasoning engines are an integral and crucial component of intelligent Reasoning Wednesday, 21 May 2008 13:40­15:30, FENS G035 15:40­17:00, FENS G029 Knowledge Representation

  13. Advanced Engineering Informatics, 2004 (To appear) Deployment of an Ontological Framework of Functional Design Knowledge

    E-Print Network [OSTI]

    Mizoguchi, Riichiro

    design knowledge on production systems since May, 2001. An empirical evaluation by Sumitomo's engineers The importance of knowledge sharing among designers and engineers has been widely recognized in knowledgeAdvanced Engineering Informatics, 2004 (To appear) - 1 - Deployment of an Ontological Framework

  14. RefWorks: Importing search results from ISI Web of KnowledgeSM

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Page 1/2 RefWorks: Importing search results from ISI Web of KnowledgeSM databases http://isiknowledge.com In ISI Web of KnowledgeSM databases (Web of Science® , BIOSIS® , CAB Abstracts® , Zoological Record, but these instructions apply to any database on the ISI Web of Knowledge platform. 1. On the Search Results screen

  15. Texas Tech University Knowledge Representation Lab Reasoning about the Intentions of Agents

    E-Print Network [OSTI]

    Gelfond, Michael

    Texas Tech University Knowledge Representation Lab Reasoning about the Intentions of Agents Justin Blount Texas Tech University April 6, 2012 #12;Texas Tech University Knowledge Representation Lab A Quote another, and here again we may choose as we will. #12;Texas Tech University Knowledge Representation Lab

  16. AN EXPLORATIVE ACTION RESEARCH STUDY TOWARD THE DESIGN OF A DIGITAL KNOWLEDGE ORGANISATION AS PART

    E-Print Network [OSTI]

    Blake, Edwin

    Indigenous Knowledge Management Systems are being developed in order to preserve, process and retrieve OF AN INDIGENOUS KNOWLEDGE MANAGEMENT SYSTEM WITH A HERERO COMMUNITY A DISSERTATION SUBMITTED TO THE DEPARTMENT approach. The evolutionary design of our indigenous knowledge management system is informed by a series

  17. Bayesian Belief Network (BBN)-based advisory system development for steam generator replacement project management

    E-Print Network [OSTI]

    Kim, Dohyoung, 1970-

    2002-01-01

    The growing need for improved project management technique points to the usefulness of a knowledge-base advisory system to help project managers understand current and future project status and optimize decisions based ...

  18. Ris's mission is to create new knowledge based on world-class research, and to ensure that our knowledge is used to promote the development of an

    E-Print Network [OSTI]

    We) · Micro-CHP (1-5 kWe) · APUs (5-10 kWe) · Collaboration with other companies #12;TOFC Channels to marketW · Natural gas from Finnish grid · > 3,000 h · Several thermal cycles · Availability > SECA ph. 1 target storage #12;Danish µ-CHP demonstration project The µ-CHP units will be operated as a Virtual Power Plant

  19. A Zero Knowledge Protocol For Nuclear Warhead Verification

    SciTech Connect (OSTI)

    Glaser, Alexander; Goldston, Robert J.

    2014-03-14

    The verification of nuclear warheads for arms control faces a paradox: International inspectors must gain high confidence in the authenticity of submitted items while learning nothing about them. Conventional inspection systems featuring ''information barriers'', designed to hide measurments stored in electronic systems, are at risk of tampering and snooping. Here we show the viability of fundamentally new approach to nuclear warhead verification that incorporates a zero-knowledge protocol, designed such that sensitive information is never measured so does not need to be hidden. We interrogate submitted items with energetic neutrons, making in effect, differential measurements of neutron transmission and emission. Calculations of diversion scenarios show that a high degree of discrimination can be achieved while revealing zero information. Timely demonstration of the viability of such an approach could be critical for the nexxt round of arms-control negotiations, which will likely require verification of individual warheads, rather than whole delivery systems.

  20. Tempus Fugit: The Impact of Time in Knowledge Mobilization Networks

    E-Print Network [OSTI]

    Rad, Amir Afrasiabi; Gaudet, Joanne

    2015-01-01

    The temporal component of social networks is often neglected in their analysis, and statistical measures are typically performed on a "static" representation of the network. As a result, measures of importance (like betweenness centrality) cannot reveal any temporal role of the entities involved. Our goal is to start filling this limitation by proposing a form of temporal betweenness measure, and by using it to analyse a knowledge mobilization network. We show that this measure, which takes time explicitly into account, allows us to detect centrality roles that were completely hidden in the classical statistical analysis. In particular, we uncover nodes whose static centrality was considered negligible, but whose temporal role is instead important to accelerate mobilization flow in the network. We also observe the reverse behaviour by detecting nodes with high static centrality, whose role as temporal bridges is instead very low. By revealing important temporal roles, this study is a first step towards a bett...

  1. EM-21 Retrieval Knowledge Center: Waste Retrieval Challenges

    SciTech Connect (OSTI)

    Fellinger, Andrew P.; Rinker, Michael W.; Berglin, Eric J.; Minichan, Richard L.; Poirier, Micheal R.; Gauglitz, Phillip A.; Martin, Bruce A.; Hatchell, Brian K.; Saldivar, Eloy; Mullen, O Dennis; Chapman, Noel F.; Wells, Beric E.; Gibbons, Peter W.

    2009-04-10

    EM-21 is the Waste Processing Division of the Office of Engineering and Technology, within the U.S. Department of Energy’s (DOE) Office of Environmental Management (EM). In August of 2008, EM-21 began an initiative to develop a Retrieval Knowledge Center (RKC) to provide the DOE, high level waste retrieval operators, and technology developers with centralized and focused location to share knowledge and expertise that will be used to address retrieval challenges across the DOE complex. The RKC is also designed to facilitate information sharing across the DOE Waste Site Complex through workshops, and a searchable database of waste retrieval technology information. The database may be used to research effective technology approaches for specific retrieval tasks and to take advantage of the lessons learned from previous operations. It is also expected to be effective for remaining current with state-of-the-art of retrieval technologies and ongoing development within the DOE Complex. To encourage collaboration of DOE sites with waste retrieval issues, the RKC team is co-led by the Savannah River National Laboratory (SRNL) and the Pacific Northwest National Laboratory (PNNL). Two RKC workshops were held in the Fall of 2008. The purpose of these workshops was to define top level waste retrieval functional areas, exchange lessons learned, and develop a path forward to support a strategic business plan focused on technology needs for retrieval. The primary participants involved in these workshops included retrieval personnel and laboratory staff that are associated with Hanford and Savannah River Sites since the majority of remaining DOE waste tanks are located at these sites. This report summarizes and documents the results of the initial RKC workshops. Technology challenges identified from these workshops and presented here are expected to be a key component to defining future RKC-directed tasks designed to facilitate tank waste retrieval solutions.

  2. DATA COLLECTION, QUALITY ASSURANCE, AND ANALYSIS PLAN FOR THE 2008/2009 HYDROGEN AND FUEL CELLS KNOWLEDGE AND OPINIONS SURVEYS

    SciTech Connect (OSTI)

    Schmoyer, Richard L [ORNL; Truett, Lorena Faith [ORNL; Diegel, Susan W [ORNL

    2008-09-01

    The 2008/2009 Knowledge and Opinions Survey, conducted for the Department of Energy's Hydrogen Program will measure the levels of awareness and understanding of hydrogen and fuel cell technologies within five target populations: (1) the general public, (2) students, (3) personnel in state and local governments, (4) potential end users of hydrogen fuel and fuel cell technologies in business and industry, and (5) safety and code officials. The ultimate goal of the surveys is a statistically valid, nationally based assessment. Distinct information collections are required for each of the target populations. Each instrument for assessing baseline knowledge is targeted to the corresponding population group. While many questions are identical across all populations, some questions are unique to each respondent group. The biggest data quality limitation of the hydrogen survey data (at least of the general public and student components) will be nonresponse bias. To ensure as high a response rate as possible, various measures will be taken to minimize nonresponse, including automated callbacks, cycling callbacks throughout the weekdays, and availability of Spanish speaking interviewers. Statistical adjustments (i.e., sampling weights) will also be used to account for nonresponse and noncoverage. The primary objective of the data analysis is to estimate the proportions of target population individuals who would respond to the questions in the various possible ways. Data analysis will incorporate necessary adjustments for the sampling design and sampling weights (i.e., probability sampling). Otherwise, however, the analysis will involve standard estimates of proportions of the interviewees responding in various ways to the questions. Sample-weight-adjusted contingency table chi-square tests will also be computed to identify differences between demographic groups The first round of Knowledge and Opinions Surveys was conducted in 2004. Analysis of these surveys produced a baseline assessment of technical knowledge about hydrogen and fuel cells and a statistically valid description of opinions about safety and potential usage in the United States. The current surveys will repeat the process used in 2004. In addition the 2008/2009 survey results will be compared with the 2004 baseline results to assess changes in knowledge levels and opinions. In 2011/2012, the surveys will be repeated, and changes in knowledge and opinions will again be assessed. The information gained from these surveys will be used to enhance and update the DOE Hydrogen Program's education efforts.

  3. Sustaining knowledge in the neutron generator community and benchmarking study. Phase II.

    SciTech Connect (OSTI)

    Huff, Tameka B.; Stubblefield, William Anthony; Cole, Benjamin Holland, II; Baldonado, Esther

    2010-08-01

    This report documents the second phase of work under the Sustainable Knowledge Management (SKM) project for the Neutron Generator organization at Sandia National Laboratories. Previous work under this project is documented in SAND2008-1777, Sustaining Knowledge in the Neutron Generator Community and Benchmarking Study. Knowledge management (KM) systems are necessary to preserve critical knowledge within organizations. A successful KM program should focus on people and the process for sharing, capturing, and applying knowledge. The Neutron Generator organization is developing KM systems to ensure knowledge is not lost. A benchmarking study involving site visits to outside industry plus additional resource research was conducted during this phase of the SKM project. The findings presented in this report are recommendations for making an SKM program successful. The recommendations are activities that promote sharing, capturing, and applying knowledge. The benchmarking effort, including the site visits to Toyota and Halliburton, provided valuable information on how the SEA KM team could incorporate a KM solution for not just the neutron generators (NG) community but the entire laboratory. The laboratory needs a KM program that allows members of the workforce to access, share, analyze, manage, and apply knowledge. KM activities, such as communities of practice (COP) and sharing best practices, provide a solution towards creating an enabling environment for KM. As more and more people leave organizations through retirement and job transfer, the need to preserve knowledge is essential. Creating an environment for the effective use of knowledge is vital to achieving the laboratory's mission.

  4. Savannah River Site Workers Share Knowledge with Students in...

    Broader source: Energy.gov (indexed) [DOE]

    Solutions (SRNS) at the Savannah River Site (SRS) recently held 90 science- and engineering-based demonstrations for more than 2,000 students in the region in recognition of...

  5. Systems and methods for knowledge discovery in spatial data

    DOE Patents [OSTI]

    Obradovic, Zoran; Fiez, Timothy E.; Vucetic, Slobodan; Lazarevic, Aleksandar; Pokrajac, Dragoljub; Hoskinson, Reed L.

    2005-03-08

    Systems and methods are provided for knowledge discovery in spatial data as well as to systems and methods for optimizing recipes used in spatial environments such as may be found in precision agriculture. A spatial data analysis and modeling module is provided which allows users to interactively and flexibly analyze and mine spatial data. The spatial data analysis and modeling module applies spatial data mining algorithms through a number of steps. The data loading and generation module obtains or generates spatial data and allows for basic partitioning. The inspection module provides basic statistical analysis. The preprocessing module smoothes and cleans the data and allows for basic manipulation of the data. The partitioning module provides for more advanced data partitioning. The prediction module applies regression and classification algorithms on the spatial data. The integration module enhances prediction methods by combining and integrating models. The recommendation module provides the user with site-specific recommendations as to how to optimize a recipe for a spatial environment such as a fertilizer recipe for an agricultural field.

  6. Knowledge integration for problem solving in the development of complex aerospace systems

    E-Print Network [OSTI]

    Haddad, Marc George

    2008-01-01

    The development of complex products requires widespread knowledge interactions among a significant number of individuals and teams designing numerous interrelated components. Increasing product complexity typically leads ...

  7. The Relation Between Reasoning and the Structure of Knowledge When Solving Mechanical Problems

    E-Print Network [OSTI]

    Reisz, Z

    2015-01-01

    a bicycle’s gears. This study design has several limitationsdesign affected the utility of procedural knowledge for describing procedural solutions to the gear

  8. The influence of information sources on HIV-related knowledge of Indian adolescents

    E-Print Network [OSTI]

    Byrnes, Karen

    2015-01-01

    knowledge existed. Suppression (identified by a significant direct effect that is suppressedknowledge. Suppression (identified by a significant (? ? 0.001) direct effect that is suppressed

  9. How to Successfully Implement a Knowledge Management System for the Mechanical Engineering Department at Gating Incorporated

    E-Print Network [OSTI]

    Mudd, John

    2009-05-15

    , utilizing some of the strategies, for the implementation of a Knowledge Management System for the Mechanical Engineering Department at Gating Incorporated....

  10. Unsettling the archive : dis- imagining colonial subjects to re-imagine knowledge production

    E-Print Network [OSTI]

    Beebe, Laura L.

    2012-01-01

    Coulthard,  Glen  S.  "Subjects  of  Empire:  Indigenous  imagining  Colonial  Subjects  to  Re-­?imagine  Knowledge  become  pure  speculation  subject  only  to  the  demands  

  11. Software Interoperability Problems and E-University Koblenz-Landau, Knowledge Media Institute,

    E-Print Network [OSTI]

    Boyer, Edmond

    Software Interoperability Problems and E- Learning Ingo Dahn University Koblenz-Landau, Knowledge Media Institute, Universitätsstr. 1, D-56070 Koblenz dahn@uni-koblenz.de Abstract Grid applications

  12. Knowledge Management Initiatives in Offshore Software Development: Vendors' Perspectives

    E-Print Network [OSTI]

    . Based on lower per capita labour costs and available expertise in some countries, clients can benefit development tasks to other low cost countries. The Indian vendors are involved in software construction in the contemporary society. The primary motivation behind offshoring software development work for clients is cost

  13. Verification of Medical Guidelines Using Background Knowledge in Task Networks

    E-Print Network [OSTI]

    Groot, Perry

    and to formalize criteria for good medical practice that a guideline should comply with. This framework are mainly concerned with checking the general quality criteria of good medical practice that a guideline on sound scientific evidence, which has been called evidence-based medicine [1], [2]. In practice, this has

  14. Knowledge Graphs as Context Models: Improving the Detection of

    E-Print Network [OSTI]

    Rosso, Paolo

    character n-gram (CL-CNG) model [9] which is based on the syntax of docu- ments, which uses character n among them. Some of these models have been compared in detecting CL plagiarism in [14]. CL-ASA and CL-CNG

  15. Knowledge Discovery in a Direct Marketing Case using Least Squares

    E-Print Network [OSTI]

    of information requests and complaints, and merchandise returns provide additional predictive power to purchase study the problem of repeat-purchase modeling in a direct marketing setting using Belgian data. More for predicting purchase incidence. The analysis is based on a wrapped form of input selection using a sensitivity

  16. Supporting Virtual Organisations through Knowledge Fusion Alun Preece

    E-Print Network [OSTI]

    Preece, Alun

    exchange; they are limited to the exchange of relatively simple relational data. The newer XML standard to develop and manufacture customised products with low costs and rapid delivery. Agent-based architec- tures to advertise their capabilities, exchange rich information, and synchro- nise workflows at a high

  17. DATA MINING FOR A WEB-BASED EDUCATIONAL SYSTEM

    E-Print Network [OSTI]

    DATA MINING FOR A WEB-BASED EDUCATIONAL SYSTEM By Behrouz Minaei-Bidgoli A DISSERTATION Submitted Department of Computer Science and Engineering 2004 #12;ii ABSTRACT DATA MINING FOR A WEB-BASED EDUCATIONAL mining and knowledge discovery techniques can be applied to find interesting relationships between

  18. Experiences with a Course on \\Web{Based Statistics"

    E-Print Network [OSTI]

    Symanzik, Jürgen

    Experiences with a Course on \\Web{Based Statistics" Jurgen Symanzik Natascha Vukasinovic Utah State@sunfs.math.usu.edu Abstract Many Statistics courses have been taught that make use of Web{based statistical tools such as teachware tools, electronic textbooks, and statistical software on the Web. However, to our best knowledge

  19. Teaching Experiences with a Course on ``Web--Based Statistics''

    E-Print Network [OSTI]

    Symanzik, Jürgen

    Teaching Experiences with a Course on ``Web--Based Statistics'' J¨urgen Symanzik Natascha@sunfs.math.usu.edu Abstract Many Statistics courses have been taught that make use of Web--based statistical tools such as teachware tools, electronic textbooks, and statistical software on the Web. However, to our best knowledge

  20. Teaching Experiences with a Course on \\Web{Based Statistics"

    E-Print Network [OSTI]

    Symanzik, Jürgen

    Teaching Experiences with a Course on \\Web{Based Statistics" Jurgen Symanzik Natascha Vukasinovic@sunfs.math.usu.edu Abstract Many Statistics courses have been taught that make use of Web{based statistical tools such as teachware tools, electronic textbooks, and statistical software on the Web. However, to our best knowledge